27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

19-24 OCTOBER 2024
Santiago de Compostela

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ACCEPTED PAPERS

Main Track

IDTitleAuthors
M11Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelović and Lei Fang
M21TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack Yanyun Wang, Dehui Du, Haibo Hu, Zi Liang and Yuanhao Liu
M31Axiomatic Characterisations of Sample-based Explanations Leila Amgoud, Martin Cooper and Salim Debbaoui
M53Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li and Songlin Hu
M54Covered for Life: Lifelong Area Coverage under Spatiotemporal Uncertainty Charlie Street and Masoumeh Mansouri
M69I-adapt: Using IoU Adapter to improve pseudo labels in cross-domain object detection Qifeng Zhang, Changjian Chen, Zhizhong Liu and Zhuo Tang
M87Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks Marcin Podhajski, Jan Dubiński, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska and Tomasz Michalak
M98Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection Ruixiao Zhang, Yihong Wu, Juheon Lee, Xiaohao Cai and Adam Prugel-Bennett
M102FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding Huitong Pan, Qi Zhang, Cornelia Caragea, Eduard Dragut and Longin Jan Latecki
M103TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles Adaku Uchendu, Thai Le and Dongwon Lee
M108Learning A Closed-Loop Bidirectional Scale-Recurrent Network for Image Deraining Peizhou Huang, Zixuan Zhong, Pengjie Wang, Xiangyu Wang and Xiang Chen
M109Rejection in Abstract Argumentation: Harder Than Acceptance? Johannes K. Fichte, Markus Hecher, Yasir Mahmood and Arne Meier
M121Comateformer : Combined Attention Transformer for Semantic Sentence Matching [not presented]Bo Li, Di Liang and Zixin Zhang
M122Matching Gains with Pays: Effective and Fair Learning in Multi-Agent Public Goods Dilemmas Yitian Chen, Xuan Liu, Shigeng Zhang, Xinning Chen and Song Guo
M125FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning Qin Huiling, Xianyuan Zhan, Yuanxun Li and Yu Zheng
M129Sanitizing Hidden Information with Diffusion Models Preston K. Robinette, Daniel Moyer and Taylor T. Johnson
M130Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences Yuzhou Yang, Yangming Zhou, Qichao Ying, Zhenxing Qian and Xinpeng Zhang
M134Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui and Jia Hu
M154Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers Mengke Li, Da Li, Guoqing Yang, Yiu-Ming Cheung and Hui Huang
M159Empowering Biomedical Named Entity Recognition through Multi-Tagger Collaboration Jin Zhao, Jian Xie, Tinghui Zhu, Qian Guo, Yanghua Xiao and Zhixu Li
M199FMViT: A multiple-frequency mixing Vision Transformer Wei Tan, Yifeng Geng and Xuansong Xie
M205TrustMIS: Trust-Enhanced Inference Framework for Medical Imaging Segmentation Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang and Robin Doss
M206An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai and Kazuyuki Demachi
M207Revocable Backdoor for Deep Model Trading Yiran Xu, Nan Zhong, Zhenxing Qian and Xinpeng Zhang
M209SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM Quandong Wang, Yuxuan Yuan, Xiaoyu Yang, Ruike Zhang, Kang Zhao, Wei Liu, Jian Luan, Daniel Povey and Bin Wang
M211Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training Xingyu Song, Zhan Li, Shi Chen and Kazuyuki Demachi
M215TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement Zhiwei Lin, Hongbo Jin, Yongtao Wang, Yufei Wei and Nan Dong
M233Extending Context Window of Attention based Knowledge Tracing Models via Length Extrapolation Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao and Weiqi Luo
M234Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò and Yiren Zhao
M248Backward explanations via redefinition of predicates Léo Saulières, Martin C. Cooper and Florence Dupin de Saint-Cyr
M249HAIformer: Human-AI Collaboration Framework for Disease Diagnosis via Doctor-Enhanced Transformer Xuehan Zhao, Jiaqi Liu, Yao Zhang, Zhiwen Yu and Bin Guo
M252Cautious Calibration in Binary Classification Mari-Liis Allikivi, Joonas Järve and Meelis Kull
M255Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri and Gjergji Kasneci
M263Resistance Against Manipulative AI: key factors and possible actions Piotr Wilczyński, Wiktoria Mieleszczenko-Kowszewicz and Przemysław Biecek
M264Connecting Permutation Equivariant Neural Networks and Partition Diagrams Edward Pearce-Crump
M265Interactive and Iterative Peer Assessment Lihi Dery
M267Deep Learning for in vivo Bronchial Carinae Detection in Flexible Bronchoscopy Robin Ghyselinck, Valentin Delchevalerie, Pierre Poitier, Benoît Frénay and Bruno Dumas
M268Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness Viacheslav Komisarenko and Meelis Kull
M269Rethinking Domain Generalization from Perspective of Gradient Granularity [not presented]Yujie Zhou, Haigen Hu, Qianwei Zhou, Qiu Guan and Mingfeng Jiang
M271Artificial Agents Facilitate Human Cooperation through Indirect Reciprocity Alexandre S. Pires and Fernando P. Santos
M278Explorative Imitation Learning: A Path Signature Approach for Continuous Environments Nathan Gavenski, Juarez Monteiro Dos Santos Júnior, Felipe Meneguzzi, Michael Luck and Odinaldo Rodrigues
M283SinLane: Siamese Visual Transformer via Pyramid Feature Integration for Lane Detection Zinan Lv, Dong Han, Wenzhe Wang and Danny Chen
M295RADAr: A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification Yousef Younes, Lukas Galke and Ansgar Scherp
M305Multiwinner Temporal Voting with Aversion to Change Valentin Zech, Niclas Boehmer, Edith Elkind and Nicholas Teh
M314TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes Zizhuo Meng, Boyu Li, Xuhui Fan, Zhidong Li, Yang Wang, Fang Chen and Feng Zhou
M321WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models Chen Guitao, Wang Yunshen, Sun Hongye and Chen Guang
M328Planning with Logical Graph-based Language Model for Instruction Generation Fan Zhang, Kebing Jin and Hankz Hankui Zhuo
M330Meta-mechanisms for Combinatorial Auctions over Social Networks Yuan Fang, Mengxiao Zhang, Jiamou Liu and Bakh Khoussainov
M331Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns Fengjuan Jia, Mengxiao Zhang, Jiamou Liu and Bakh Khoussainov
M335SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma and Xiaokang Yang
M346Molecular Topological Profile (MOLTOP) - Simple and Strong Baseline for Molecular Graph Classification Jakub Adamczyk and Wojciech Czech
M348VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Entity Recognition Junyi Bian, Weiqi Zhai, Xiaodi Huang, Jiaxuan Zheng and Shanfeng Zhu
M351CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-organ Segmentation Yuzhu Ji, Mingshan Sun, Yiqun Zhang and Haijun Zhang
M352Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir, Shahaf Bassan and Guy Katz
M355Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning Runhao Zeng, Dingjie Zhou, Qiwei Liang, Junlin Liu, Hui Li, Changxin Huang, Jianqiang Li, Xiping Hu and Fuchun Sun
M360Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution Tianyi Xu, Yijie Zhou, Xiaotao Hu, Kai Zhang, Anran Zhang, Xingye Qiu and Jun Xu
M361Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis Francesco Sovrano, Michaël Lognoul and Giulia Vilone
M364General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi and Ivan Oseledets
M367What model does MuZero learn? Jinke He, Thomas Moerland, Joery de Vries and Frans Oliehoek
M368Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach Moshe Eliasof, Davide Murari, Ferdia Sherry and Carola-Bibiane Schönlieb
M371LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang and Tingwen Liu
M372Fully Hyperbolic Rotation for Knowledge Graph Embedding Qiuyu Liang, Weihua Wang, Feilong Bao and Guanglai Gao
M379Escape Sensing Games: Detection-vs-Evasion in Security Applications Niclas Boehmer, Minbiao Han, Haifeng Xu and Milind Tambe
M403DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park and Sanghyun Park
M404SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction Seungyeon Choi, Sangmin Seo and Sanghyun Park
M414Maximally Permissive Reward Machines Giovanni Varricchione, Natasha Alechina, Mehdi Dastani and Brian Logan
M422CSAdv: Class-Specific Adversarial Patches for DETR-style Object Detection Yue Xu, Chuanming Wang, Xiaolong Zheng, Yi Huang, Peilun Du, Zeyuan Zhou, Liang Liu and Huadong Ma
M424Decision-Focused Learning to Predict Action Costs for Planning Jayanta Mandi, Marco Foschini, Daniel Höller, Sylvie Thiebaux, Joerg Hoffmann and Tias Guns
M428PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale and Nicolas Kourtellis
M432Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space Eduardo Sanchez-Karhunen, Jose F. Quesada-Moreno and Miguel A. Gutiérrez-Naranjo
M441On the Discovery of Conceptual Clustering Models through Pattern Mining Motaz Ben Hassine, Said Jabbour, Mourad Kmimech, Badran Raddaoui and Mohamed Graiet
M443Hyperbolic Contrastive Learning for Document Representations - A Multi-View Approach with Paragraph-level Similarities Jaeeun Nam, Ilias Chalkidis and Mina Rezaei
M445TabMedBERT: a Tabular Knowledge Enhanced Biomedical Pretrained Language Model Xu Yan, Lei Geng, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang and Jun Zhang
M449SF-SER: An efficient speech-only model with semantic funnel for speech emotion recognition Xiaoke Li and Zufan Zhang
M450Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning Paweł Teisseyre, Konrad Furmańczyk and Jan Mielniczuk
M451GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization Ran Liu, Ming Liu, Min Yu, Jianguo Jiang, Gang Li, Dan Zhang, Jingyuan Li, Xiang Meng and Weiqing Huang
M452SAIE Framework: Support Alone Isn't Enough - Advancing LLM Training with Adversarial Remarks Mengsay Loem, Masahiro Kaneko and Naoaki Okazaki
M457Semantic-level augmented unsupervised representation action learning based on motion manifold Haichuan Zhao, Peng Du, Xudong Ru, Zhongke Wu and Xingce Wang
M458Multi-Agent Reinforcement Learning for Alternating-Time Logic Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi and Dominik Wojtczak
M464TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting Md Atik Ahamed and Qiang Cheng
M468Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts Sheryl Paul and Jyotirmoy Deshmukh
M470A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence Roberto Pagliari, Peter Hill, Po-Yu Chen, Maciej Dabrowny, Tingsheng Tan and Francois Buet-Golfouse
M471Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay and Meiyi Ma
M472Post-hoc Explanation of Extension Semantics Leila Amgoud
M484Making Fair Classification via Correlation Alignment Jingran Yang, Lingfeng Zhang and Min Zhang
M485Global Structural-Temporal Graph Network with Public Opinion for Online Rumor Detection Tiening Sun, Zhong Qian, Peifeng Li and Qiaoming Zhu
M495JOSAL: Joint Learning Framework for Open-Set Active Learning Jun Xie, Xiaohui Song, Yangjie Cao, Zhi Liu, Weiping Wang and Hongli Xu
M496Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence Thao Le, Tim Miller, Liz Sonenberg and Ronal Singh
M497Individual Fairness with Group Constraints in Graph Neural Networks Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland Yap and Wenbin Zhang
M500A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders Christophe Gonzales and Amir-Hosein Valizadeh
M508Complex-Valued Gabor-Attention Residual Fusion Network for Iris Recognition Zhuoru Li, Jian Xiao, Xiaowei Bai, Xiaodong Wang, Yingxi Li, Zhenyu Fang, Liang Xie, Ye Yan and Erwei Yin
M511TIGER: Temporally Improved Graph Entity Linker Pengyu Zhang, Congfeng Cao and Paul Groth
M513Segmentation-Driven Image Enhancement Based on Deep Reinforcement Learning Yihong Liu, Zishang Chen, Yukang Cui and Piji Li
M515PAGE: Parametric Generative Explainer for Graph Neural Network Yang Qiu, Wei Liu, Jun Wang and Ruixuan Li
M516Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu, Xin-Chun Li, Le Gan and De-Chuan Zhan
M517Revisiting Under-represented Knowledge of Latin American Literature in Large Language Models Jinsung Kim, Seonmin Koo and Heuiseok Lim
M526Convolutional Bypasses Are Better Vision Transformer Adapters Shibo Jie, Zhi-Hong Deng, Shixuan Chen and Zhijuan Jin
M531A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements Elisa Tosello, Alessandro Valentini and Andrea Micheli
M534BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency Xinyu Liu, Wenqiang Zhou, Zhendong Yu, Jiaming Yang, Tao Wang, Chenwei Tang and Jiancheng Lv
M542Generating fair solutions of minimal cost Thibaut Lust, Mohammed Bachir Bederina and Djamal Chaabane
M543LightFF: Lightweight Inference for Forward-Forward Algorithm Amin Aminifar, Baichuan Huang, Azra Abtahi and Amir Aminifar
M547Error-Driven Uncertainty Aware Training Pedro Mendes, Paolo Romano and David Garlan
M552NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems Carlos Núñez-Molina, Pablo Mesejo and Juan Fernández-Olivares
M556Sampling-based Teacher Guided Method to Boost Transferable Attack on SAR Image Classification Aoyang Zhou, Yasmeen M. Khedr, Xin Liu and Kun He
M560Semantic Similarity Driven Multi-modal Model for Rumor Detection Chenyang Li, Bo Xu, Meng Wang and Kun He
M561FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios Yongjian Tang, Rakebul Hasan and Thomas Runkler
M565Iterative Oversubscription Planning with Goal-Conflict Explanations: Scaling Up Through Policy-Guidance Approximation Rebecca Eifler, Daniel Fišer, Aleena Siji and Joerg Hoffmann
M566Target-driven Attack for Large Language Models Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu and Xiaobo Jin
M567Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation Xuewei Li, Yujie Diao, Yilong Fan, Zhiqiang Liu, Mei Yu, Chenhan Wang, Jie Gao and Ruiguo Yu
M571Sentinel: An Aggregation Function to Secure Decentralized Federated Learning Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Gérôme Bovet and Burkhard Stiller
M577Safety Verification of Tree-Ensemble Policies via Predicate Abstraction Chaahat Jain, Lorenzo Cascioli, Laurens Devos, Marcel Vinzent, Marcel Steinmetz, Jesse Davis and Joerg Hoffmann
M586Bridging the Gap: Generating a Comprehensive Biomedical Knowledge Graph Question Answering Dataset Xi Yan, Patrick Westphal, Jan Seliger and Ricardo Usbeck
M596FL-GNN: Efficient Fusion of Fuzzy Neural Network and Graph Neural Network Boyu Du, Jingya Zhou, Ling Liu and Xiaolong She
M597Learning Uncertainty Tubes via Recurrent Neural Networks for Planning Robust Robot Motions Simon Wasiela, Smail Ait Bouhsain, Marco Cognetti, Juan Cortés and Thierry Siméon
M598Learning Confidence Bounds for Classification with Imbalanced Data Matt Clifford, Jonathan Erskine, Alexander Hepburn, Raul Santos-Rodriguez and Dario Garcia-Garcia
M616Computational Complexity of Standpoint LTL Stephane Demri and Przemysław Andrzej Wałęga
M619A Parallel Gumbel-Softmax VAE Framework with Performance-Based Tuning Fangshi Zhou, Tianming Zhao, Luan Nguyen and Zhongmei Yao
M621Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents Lucia Gordon, Esther Rolf and Milind Tambe
M623Hierarchical Planning for Resource-Constrained Long-Term Monitoring Missions in Time-Varying Environments Alex Stephens, Bruno Lacerda and Nick Hawes
M627Cube-based Isomorph-free Finite Model Finding Choiwah Chow, Mikoláš Janota and João Araújo
M629Temporal Elections: Welfare, Strategyproofness, and Proportionality Edith Elkind, Tzeh Yuan Neoh and Nicholas Teh
M631Modelling brain connectomes networks: Solv is a worthy competitor to hyperbolic geometry! Dorota Celińska-Kopczyńska and Eryk Kopczynski
M634GRIF-DM: Generation of Rich Impression Fonts using Diffusion Models Lei Kang, Fei Yang, Kai Wang, Mohamed Ali Souibgui, Lluis Gomez, Alicia Fornés, Ernest Valveny and Dimosthenis Karatzas
M640MIM-HD: Making Smaller Masked Autoencoder Better with Efficient Distillation Zherui Zhang, Changwei Wang, Rongtao Xu, Wenhao Xu, Shibiao Xu, Li Guo, Jiguang Zhang, Xiaoqiang Teng and Wenbo Xu
M641CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard Mccreadie and Gerardo Aragon-Camarasa
M642Evolutionary Reinforcement Learning via Cooperative Coevolution Chengpeng Hu, Jialin Liu and Xin Yao
M645Graph Continual Learning with Debiased Lossless Memory Replay Chaoxi Niu, Guansong Pang and Ling Chen
M648DiverTEAM: An Effective Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems Jinghui Xue, Jiongzhi Zheng, Kun He, Chu-Min Li and Yanli Liu
M651MultiCounter: Multiple Action Agnostic Repetition Counting in Untrimmed Videos Yin Tang, Wei Luo, Jinrui Zhang, Wei Huang, Ruihai Jing and Deyu Zhang
M665Improving Non-autoregressive Sign Language Translation with Random Ordering Progressive Prediction Pre-training Pei Yu, Changhao Lai, Cong Hu, Shan Liu, Liang Zhang, Biao Fu and Yidong Chen
M667Comparing lossless compression methods for Chess endgame data Dave Gomboc, Christian Shelton, Andrew Miner and Gianfranco Ciardo
M669A Multi-Agent Reinforcement Learning Algorithm Embedded with Opponent Modeling Shun Li, Xiao Su and Bing Shi
M673MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup Transfer Ming Sun, Rui Wang, Zixuan Zhu and Lihua Jing
M695Enhancing Discourse Coherence to Improve Cross-Document Event Coreference Resolution Xinyu Chen, Sheng Xu, Peifeng Li and Qiaoming Zhu
M698Mind the Model, Not the Agent: The Primacy Bias in Model-based RL Zhongjian Qiao, Jiafei Lyu and Xiu Li
M699MAMO:Deep Multi-task Architecture Learning via Multi-objective Optimization with Gradients Mediative Kernel Yuzheng Tan, Guangneng Hu and Shuxin Zhang
M700Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant Factors Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He and Hui Li
M702Heuristics for Partially Observable Stochastic Contingent Planning Guy Shani
M704Omniclip: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning Mushui Liu, Bozheng Li and Yunlong Yu
M712Defending Our Privacy With Backdoors Dominik Hintersdorf, Lukas Struppek, Daniel Neider and Kristian Kersting
M719Enhancing Reinforcement Learning Through Guided Search Jérôme Arjonilla, Abdallah Saffidine and Tristan Cazenave
M722Open-GMOT: Open-Vocabulary Generic Multiple Object Tracking with Motion-Appearance Cost (MAC) SORT Anh Duy Le Dinh, Kim Tran Hoang and Ngan Le Thi Hoang
M732Interpretable Graph Neural Networks for Tabular Data Amr Alkhatib, Sofiane Ennadir, Henrik Boström and Michalis Vazirgiannis
M734Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model Taehee Kim, Yeongjae Cho, Heejun Shin, Yohan Jo and Dongmyung Shin
M738Domain Adaptational Steganographic Text Detection Using Few-shot Adversary-Refinement Framework Ziwei Zhang, Juan Wen, Yinghan Zhou, Liting Gao and Yiming Xue
M739Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation Zhongzhen Huang, Linda Wei, Shaoting Zhang and Xiaofan Zhang
M748Relation Time-aware Heterogeneous Dynamic Graph Neural Networks Yili Wang, Jiamin Chen, Qiutong Li, Changlong He and Jianliang Gao
M749A Faster Branching Algorithm for the Maximum k-Defective Clique Problem Chunyu Luo, Yi Zhou, Zhengren Wang and Mingyu Xiao
M752Large Language Models Understand Layout Weiming Li, Manni Duan, Dong An and Yan Shao
M759MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu and Liang He
M762Translation and Transliteration Based DataAugmentation for Multilingual Semantic Parsing Sarthak Jauhari, Massimo Nicosia, Ankush Chatterjee and Rahul Goel
M763Interpretable image classification through an argumentative dialog between encoders Dao Thauvin, Stéphane Herbin, Wassila Ouerdane and Céline Hudelot
M764CBM: Curriculum by Masking Andrei Jarca, Alin Croitoru and Radu Tudor Ionescu
M765Capacitated Online Clustering Algorithm Shivam Gupta, Shweta Jain, Narayanan C Krishnan, Ganesh Ghalme and Nandyala Hemachandra
M769Text-based Geolocation with a Byte-level Language Model Mikhail Orzhenovskii, Alina Pak, Roman Kane and Arina Razmyslovich
M782Tackling Selfish Clients in Federated Learning Andrea Augello, Ashish Gupta, Giuseppe Lo Re and Sajal K. Das
M783Complexity and Approximation Schemes for Social Welfare Maximization in the High-Multiplicity Setting Trung Thanh Nguyen, Khaled Elbassioni and Jörg Rothe
M793Pessimistic Off-Policy Optimization for Learning to Rank Matej Čief, Branislav Kveton and Michal Kompan
M799Memory adaptive and spatially specialized model ensembles for industrial anomaly detection Marco Wagenstetter, Niklas Landerer, Johannes Thyroff, Thomas Aicher, Arvid Hellmich and Steffen Ihlenfeldt
M815Online Friends Partitioning under Uncertainty Saar Cohen and Noa Agmon
M816Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning Aritra Pal, Anandsingh Chauhan, Mayank Baranwal and Ankush Ojha
M831Merge-and-Shrink Heuristics for SSPs with Prune Transformations Thorsten Klößner, Álvaro Torralba, Marcel Steinmetz and Silvan Sievers
M834PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models Junjie Wu, Mingjie Sun, Chen Gong, Nan Yu and Guohong Fu
M835On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization Erik Bernardo Terres Escudero, Javier Del Ser and Pablo García Bringas
M836Dual Attention Encoder with Joint Preservation for Medical Image Segmentation Shijie Li, Yunbin Tu, Yu Gong, Bowen Zhong and Zheng Li
M838RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images Jing Zhou, Chengcheng Guo and Ying Ji
M840Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi and Andreas Bulling
M841Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization Jonathan Pirnay and Dominik G. Grimm
M843First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending Zhenhang Li, Yan Shu, Weichao Zeng, Dongbao Yang and Yu Zhou
M848Empirical Evaluation of Concept Probing for Game-Playing Agents Aðalsteinn Pálsson and Yngvi Bjornsson
M849Characterising Serialisation Equivalence for Abstract Argumentation Lars Bengel, Julian Sander and Matthias Thimm
M850Scale-Invariant Variations of Max Regret Nic Wilson
M853Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs Duanyu Li, Huijun Wu, Min Xie, Xugang Wu, Zhenwei Wu and Wenzhe Zhang
M856Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-aware Curriculum Learning and Colour-Perceived Meta Learning Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco and Yang Song
M863Learning Order Forest for Qualitative-Attribute Data Clustering Mingjie Zhao, Sen Feng, Yiqun Zhang, Mengke Li, Yang Lu and Yiu-Ming Cheung
M867On Connected Strongly-Proportional Cake-Cutting Zsuzsanna Jankó, Attila Joó, Erel Segal-Halevi and Sheung Man Yuen
M871Cross-stage Transfer in Multi-stage Cascade Ranking and Filtering Systems Yifan Pan, Guibo Luo and Yuesheng Zhu
M873Adversarially Robust Neural Lyapunov Control Li Wei, Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou and Hongkai Xiong
M884An Efficient Modular Algorithm for Connected Multi-Agent Path Finding Victorien Desbois, Ocan Sankur and François Schwarzentruber
M892Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation Jiahe Chen, Jianwei Zheng, Shen Wang and Jiahe Ying
M903Adversarial Erasing Transformer for Weakly Supervised Semantic Segmentation Bingfeng Zhang, Siyue Yu, Xuru Gao, Mingjie Sun, Eng Gee Lim and Jimin Xiao
M906(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers Manh Khoi Duong and Stefan Conrad
M907Explaining Text Classifiers with Counterfactual Representations Pirmin Lemberger and Antoine Saillenfest
M911Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect Jiashi Gao, Xin Yao and Xuetao Wei
M914Big-thick data generation via reference and personal context unification Fausto Giunchiglia and Xiaoyue Li
M915CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition Yafeng Zhang, Zilan Yu, Yu Ang Huang and Jing Tang
M918Learning Interpretable Classifiers for PDDL Planning Arnaud Lequen
M924Learning and Optimizing with an SSB Representation of Intransitive Preferences on Sets Hugo Gilbert, Mohamed Ouaguenouni and Olivier Spanjaard
M927Generative LLMs for Multilingual Temporal Expression Normalization Alejandro Sánchez de Castro Fernández, Lourdes Araujo Serna and Juan Martínez Romo
M928Sinogram-Image Dual-Domain Network for Robust Metal Artifact Reduction in CT Image Chong Liu, Yuhan Huang, Bo Li and Hui Ding
M932Assessing Privacy Risks of Attribute Inference Attacks against Speech-based Depression Detection System Basmah Alsenani, Anna Esposito, Alessandro Vinciarelli and Tanaya Guha
M936Belief Erasure in Propositional Logic Nadia Creignou, Raïda Ktari and Odile Papini
M939Leveraging Foundation Models for Zero-Shot IoT Sensing Dinghao Xue, Xiaoran Fan, Tao Chen, Guohao Lan and Qun Song
M942Synthetically Augmented Self-Supervised Fine-Tuning for Diverse Text OCR Correction Shuhao Guan and Derek Greene
M944FedMTL: Privacy-Preserving Federated Multi-Task Learning Pritam Sen and Cristian Borcea
M945Group Fairness with Individual and Censorship Constraints Zichong Wang and Wenbin Zhang
M946Open-Set Multivariate Time-Series Anomaly Detection Thomas Lai, Thi Kieu Khanh Ho and Narges Armanfard
M948Cluster Exploration using Informative Manifold Projections Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev and John Y. Goulermas
M957TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models Teng Zhou and Yongchuan Tang
M966Transparent Explainable Logic Layers Alessio Ragno, Marc Plantevit, Celine Robardet and Roberto Capobianco
M968A Neuro-symbolic Approach for Faceted Search in Digital Libraries Mutahira Khalid, Sören Auer and Markus Stocker
M969Analyzing Incentives and Fairness in Ordered Weighted Average for Facility Location Games Kento Yoshida, Kei Kimura, Taiki Todo and Makoto Yokoo
M977LEarning After Learning: Positive Backward Transfer in Continual Learning Wern Sen Wong, Yun Sing Koh and Gillian Dobbie
M982Solving PDEs on Point Clouds by Physics-informed Learning with Graph Neural Networks Rakhoon Hwang, Junseung Ryu, Seungtae Park and Hyung Ju Hwang
M985MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation Xiujuan Xu, Xiaoxiao Shi, Zhehuan Zhao and Yu Liu
M992Finding Optimal Deterministic Policies for Constrained Stochastic Shortest Path Problems Johannes Schmalz and Felipe Trevizan
M993Dirichlet Logistic Gaussian Processes for Evaluation of Black-Box Stochastic Systems under Complex Requirements Ryohei Oura and Yuji Ito
M996SubSA: Strengthen In-context Learning via Submodular Selective Annotation [not presented]Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun and Patrick Chiang
M1012The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest Shen-Huan Lyu, Jin-Hui Wu, Qin-Cheng Zheng and Baoliu Ye
M1021Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace Tingting Zhang, Mei Cao, Zhenge Jia, Jianbo Lu, Zhaoyan Shen, Dongxiao Yu and Mengying Zhao
M1023LGAD: Local and Global Attention Distillation for Efficient Semantic Segmentation Chen Wang, Yafei Qi, Qi Li and Huawen Liu
M1024Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays Ziqun Chen, Kechao Cai, Zhuoyue Chen, Jinbei Zhang and John C.S. Lui
M1028MPT4LM: Multi-modal Prompt Tuning Makes Pre-trained Large Language Models better Vision-Language Learners Yongzhu Miao, Jintao Tang, Shasha Li and Ting Wang
M1031Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments Heeyoung Lee, Hoyoon Byun, Changdae Oh, Jinyeong Bak and Kyungwoo Song
M1051Time Series Imputation with Multivariate Radial Basis Function Neural Network Chanyoung Jung and Yun Jang
M1058Mutual Local Consistency Learning for Face Forgery Detection Bosheng Yan and Chang-Tsun Li
M1066A Language Model as a Design Assistant for UI Design Recommendation and Evaluation Lin Sheng, Cheng Deng, Junjie Zhang, Fangyuan Chang, Qinghua Sun, Hongyu Liu and Zhenyu Gu
M1069Graph Classification with GNNs : Optimisation, Representation and Inductive Bias P Krishna Kumar and Harish G Ramaswamy
M1078Exemplar-Free Incremental Deepfake Detection Wuti Xiong, Guoying Zhao and Xiaobai Li
M1079FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan and Xu Chen
M1082DCTAN: Densely Convolved Transformer Aggregation Networks for Monocular Dense Depth Prediction in Robotic Endoscopy Wenkang Fan, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen and Xiongbiao Luo
M1086Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han and Guiguang Ding
M1094Harnessing Orthogonality to Train Low-Rank Neural Networks Daniel Coquelin, Katharina Fluegel, Marie Weiel, Nicholas Kiefer, Charlotte Debus, Achim Streit and Markus Goetz
M1096Advancing ConvNet Architectures: A Novel XGB-based Pruning Algorithm for Transfer Learning Efficiency Igor Ratajczyk and Adrian Horzyk
M1101EdgeNAT: Transformer for Efficient Edge Detection Jinghuai Jie, Yan Guo, Guixing Wu, Junmin Wu and Baojian Hua
M1102FedSeProto: Learning Semantic Prototype in Federated Learning Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen and Zibin Zheng
M1106Hidden States in LLMs Improve EEG Representation Learning and Visual Decoding Aoyang Liu, Haodong Jing, Yulong Liu, Yongqiang Ma and Nanning Zheng
M1112A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction Xiangke Zeng, Zuchao Li, Lefei Zhang, Ping Wang, Hongqiu Wu and Hai Zhao
M1115From document to program embeddings: can distributional hypothesis really be used on programming languages? Thibaut Martinet, Guillaume Cleuziou, Matthieu Exbrayat and Frédéric Flouvat
M1119On the Cultural Gap in Text-to-Image Generation Bingshuai Liu, Longyue Wang, Chenyang Lyu, Yong Zhang, Jinsong Su, Shuming Shi and Zhaopeng Tu
M1122Preserving the Privacy of Reward Functions in MDPs through Deception Shashank Reddy Chirra, Pradeep Varakantham and Praveen Paruchuri
M1125Identifying the Best Arm in the Presence of Global Environment Shifts Phurinut Srisawad, Juergen Branke and Long Tran-Thanh
M1131TDCL: Dense Semantic Contrastive Learning for Vision-Language Tracking Zheng Wang, Xiankang He, Kaiyang Lan, Ying Cui and Dongyan Guo
M1134A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning Kiran Purohit, Soumi Das, Sourangshu Bhattacharya and Santu Rana
M1135Analogical Classifier as a Surrogate for Explanations Suryani Lim, Henri Prade and Gilles Richard
M1138Partial Label Learning via Cost-Guided Retraining Zhaoyuan Zhang, Zhenbing Liu and Haoxiang Lu
M1139Zero-shot relabeling of weak labels for fine-grained semantic indexing of biomedical literature Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas and Georgios Paliouras
M1148Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images Maximilian Bernhard, Tanveer Hannan, Matthias Schubert and Niklas Strauß
M1149The Complexity of Manipulation of k-Coalitional Games on Graphs Hodaya Barr, Yohai Trabelsi, Sarit Kraus, Liam Roditty and Noam Hazon
M1153Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa and Ryoma Bise
M1160SibylSat: Using SAT as an oracle to perform a greedy search on TOHTN Planning Gaspard Quenard, Damien Pellier and Humbert Fiorino
M1169Noise-free Explanation for Driving Action Prediction Hongbo Zhu, Theodor Wulff, Rahul Singh Maharjan, Jinpei Han and Angelo Cangelosi
M1172Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi and Jie Luo
M1197PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha and Shweta Jain
M1200SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems Nathan Corecco, Giorgio Piatti, Luca Lanzendoerfer, Flint Xiaofeng Fan and Roger Wattenhofer
M1201Selfishly Cancelling Debts Can Reduce Systemic Risk Jinyun Tong, Bart De Keijzer and Carmine Ventre
M1203Reducing Systemic Risk in Financial Networks through Donations Jinyun Tong, Bart De Keijzer and Carmine Ventre
M1206Planning with OWL-DL Ontologies Tobias John and Patrick Koopmann
M1208Reassessing Non-autoregressive Neural Machine Translation with a Fine-grained Error Taxonomy Yan Liu, Longyue Wang, Zhaopeng Tu and Deyi Xiong
M1214Probabilistically Plausible Counterfactual Explanations with Normalizing Flows Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski and Maciej Zięba
M1225Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach Salah-Eddine Laidoudi, Madjid Maidi and Samir Otmane
M1227Parameterized Algorithms for Optimal Refugee Resettlement Jiehua Chen, Ildikó Schlotter and Sofia Simola
M1228Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities Zheyu Zhang, Xinzhao Liu, Zheng Chen, Yueyi Zhang, Huanjing Yue, Yunwei Ou and Xiaoyan Sun
M1229Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLAMA Models with Task-Specific Prompts Danyal Aftab and Steven Davy
M1232Bottlenecked Backpropagation to Train Differentially Private Deep Neural Networks Arghyadeep Ghosh and Mrinal Das
M1245Using Backdoors to Generate Learnt Information in SAT Solving Alexander Andreev, Konstantin Chukharev, Stepan Kochemazov and Alexander Semenov
M1247Structure and Reduction of MCTS for Explainable-AI Ronit Bustin and Claudia V. Goldman
M1250Phy-CoCo: Physical Constraint-based Correlation Learning for Tropical Cyclone Intensity and Size Estimation Hanting Yan, Pan Mu, Cheng Huang, Jinglin Zhang and Cong Bai
M1253Count-based Novelty Exploration in Classical Planning Giacomo Rosa and Nir Lipovetzky
M1256A Unified Automata-Theoretic Approach to LTL_f Modulo Theories Marco Faella and Gennaro Parlato
M1260Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo and Xueqi Cheng
M1265FairUS - UpSampling Optimized Method for Boosting Fairness Nurit Cohen Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach and Bracha Shapira
M1268TabCGOK: Intra-Class Groups Retrieval and Inter-Class Ordinal Knowledge Augmented Network for Ordinal Tabular Data Prediction Zhengdong Luo, Abibulla Atawulla, Fengyi Yang, Yongqing Zhu, Yixiao Ren, Yunfei Han and Xi Zhou
M1284Shielded FOND: Planning With Safety Constraints in Pure-Past Linear Temporal Logic Luigi Bonassi, Giuseppe De Giacomo, Alfonso Emilio Gerevini and Enrico Scala
M1286Differentiable Neural Network for Assembling Blocks Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao and Jake Luo
M1296MFF-YOLO: Multi-scale Feature Fusion Network for Small Ship Detection in Night Scenes Guangyu Li, Jun Li, Hai Cao, Houjun Wang, Weili Guo and Chen Gong
M1303Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate Chunkit Chan, Jiayang Cheng, Xin Liu, Yauwai Yim, Yuxin Jiang, Zheye Deng, Haoran Li, Yangqiu Song, Ginny Y. Wong and Simon See
M1304Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu and Min Xu
M1310The Distributional Uncertainty of the SHAP score in Explainable Machine Learning Santiago Cifuentes, Leopoldo Bertossi, Nina Pardal, Sergio Abriola, Maria Vanina Martinez and Miguel Romero
M1311SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network For Infrared and Visible Image Fusion [not presented]Kun Hu, Qingle Zhang, Maoxun Yuan and Yitian Zhang
M1328A novel view of analogical proportion between formulas Andreas Herzig, Emiliano Lorini and Henri Prade
M1329Unidirectional Cross-modal Fusion for RGB-T Tracking Xiao Guo, Hangfei Li, Yufei Zha and Peng Zhang
M1331On Parallel External-Memory Bidirectional Search Lior Siag, Shahaf Shperberg, Ariel Felner and Nathan Sturtevant
M1338United We Stand: Decentralized Multi-Agent Planning With Attrition Nhat Nguyen, Duong Nguyen, Gianluca Rizzo and Hung Nguyen
M1344Combining Active Learning and Learning to Reject for Anomaly Detection Luca Stradiotti, Lorenzo Perini and Jesse Davis
M1346Link prediction without learning Simon Delarue, Thomas Bonald and Tiphaine Viard
M1366Learning Reward Structure with Subtasks in Reinforcement Learning Shuai Han, Mehdi Dastani and Shihan Wang
M1367Principled Explanations for Robust Redistributive Decisions Hénoïk Willot, Khaled Belahcene and Sébastien Destercke
M1369Understanding XAI Through the Philosopher's Lens: A Historical Perspective Martina Mattioli, Antonio Emanuele Cinà and Marcello Pelillo
M1372Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency Harsh Kasyap, Ugur Atmaca, Michela Iezzi, Toby Walsh and Carsten Maple
M1376Crafting Lifelike Avatars: Model Compression and Advanced Rendering Techniques Shengjia Zhang
M1390Adversarial Attack for Explanation Robustness of Rationalization Models Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li and Wei Liu
M1395Distilling the Effects of Language Model Contamination Behzad Mehrbakhsh, Fernando Martínez-Plumed and Jose Hernandez-Orallo
M1405SelfBC: Self Behavior Cloning for Offline Reinforcement Learning Shirong Liu, Chenjia Bai, Zixian Guo, Hao Zhang, Gaurav Sharma and Yang Liu
M1407Accelerating Machine Learning for Trading Using Programmable Switches Xinpeng Hong, Changgang Zheng, Stefan Zohren and Noa Zilberman
M1417Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang and Jinqiao Wang
M1418R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models [not presented]Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He and Jun Huang
M1420Fair-OBNC: Correcting Label Noise for Fairer Datasets Inês Oliveira E Silva, Sérgio Jesus, Hugo Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro and Carlos Soares
M1421Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses Vassilissa Lehoux-Lebacque, Tomi Silander, Christelle Loiodice, Seungjoon Lee, Albert Wang and Sofia Michel
M1428Compromises in Dialogical Argumentation: Aggregated Policies for Biparty Decision Theory Ivan Donadello, Renan Lirio de Souza, Anthony Hunter and Mauro Dragoni
M1431Bipartite Time Series Network for Data Imputation Ilaria Amerise, Valeria Fionda and Giuseppe Pirrò
M1433Uncertainty-guided Dual Task Framework for Semi-supervised Segmentation of Thyroid Nodules Xiang Ying, Jizhe Zhang, Jie Gao, Mei Yu, Ruixuan Zhang, Jialin Zhu, Xuewei Li and Ruiguo Yu
M1437IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields Wenxiang Jiang, Hanwei Zhang, Shuo Zhao, Zhongwen Guo and Hao Wang
M1441Winning the 2023 CityLearn Challenge: a Community-based Hierarchical Energy Systems Coordination Algorithm Andoni Irazusta Garmendia, Francesco Morri, Quentin Cappart and Hélène Le Cadre
M1442Node Classification via Adaptive Spectral-Heterophily Giuseppe Pirrò
M1445Hop-based Heterogeneous Graph Transformer Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma and Tat-Seng Chua
M1452Modelling Diffusion of Dependent and Conflicting Behaviours with Dynamic Logic Gabriel Amorim, Marlo Souza and Alvaro Moreira
M1456Building and Assessing a Named Entity Recognition Resource for Ancient Pharmacopeias Karim El Haff, Wissam Antoun, Agnès Braud, Florence Le Ber and Veronique Pitchon
M1457Detecting Patterns of Attacks to Network Security in Urban Air Mobility with Answer Set Programming Gioacchino Sterlicchio and Francesca Alessandra Lisi
M1462Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation Ben Batten, Yang Zheng, Alessandro De Palma, Panagiotis Kouvaros and Alessio Lomuscio
M1464TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl and Marco Fisichella
M1484Barely Decidable Fragments of Planning Maurice Dekker and Gregor Behnke
M1486HyenaPixel: Global Image Context with Convolutions Julian Spravil, Sebastian Houben and Sven Behnke
M1487Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers Johannes Czech, Jannis Blüml, Kristian Kersting and Hedinn Steingrimsson
M1488Learning Brave Assumption-Based Argumentation Frameworks via ASP Emanuele De Angelis, Maurizio Proietti and Francesca Toni
M1506A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis Arthur Batel, Idir Benouaret, Joan Fruitet, Marc Plantevit and Celine Robardet
M1510Mechanism Design for Extending the Accessibility of Facilities Hau Chan, Jianan Lin, Chenhao Wang and Yanxi Xie
M1524Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation Irfansha Shaik and Jaco van de Pol
M1527Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan, Mikhail Hushchyn and Denis Derkach
M1531A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality Kushal Chakrabarti and Mayank Baranwal
M1532LoCa: Logit Calibration for Knowledge Distillation Runming Yang, Taiqiang Wu and Yujiu Yang
M1535Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning Junyang Cai, Taoan Huang and Bistra Dilkina
M1546Sparse Convolutional Neural Network for Localization and Orientation Prediction and Application to Drone Control Jan Rodziewicz-Bielewicz and Marcin Korzeń
M1547Transfer Learning Can Introduce Bias Parisa Salmani and Peter Lewis
M1554Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning Stephen Wissow and Masataro Asai
M1562Cost Partitioning For Multiple Sequence Alignment Mika Skjelnes, Daniel Gnad and Jendrik Seipp
M1566Language Task Difficulty Prediction through LLM-Annotated Meta-Features Yael Moros-Daval, Fernando Martínez-Plumed and José Hernández-Orallo
M1574Embedding Knowledge Graphs in Degenerate Clifford Algebras Louis Mozart Kamdem Teyou, Caglar Demir and Axel Cyrille Ngonga Ngomo
M1575How to guide a present-biased agent through prescribed tasks? Tatiana Belova, Yuriy Dementiev, Fedor Fomin, Petr Golovach and Artur Ignatiev
M1579DataDetective: Dataset Watermarking for Leakers Identification in ML Training Noa Wegerhoff, Avishag Shapira, Yuval Elovici and Asaf Shabtai
M1581A Federated Large Language Model for Long-Term Time Series Forecasting Raed Abdel Sater and Abdessamad Ben Hamza
M1584Worst- and Average-Case Robustness of Stable Matchings: (Counting) Complexity and Experiments Kimon Boehmer and Niclas Boehmer
M1589MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images Ziyang Xu, Huangxuan Zhao, Ziwei Cui, Wenyu Liu, Chuansheng Zheng and Xinggang Wang
M1591FilFL: Client Filtering for Optimized Client Participation in Federated Learning Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini and Marco Canini
M1593Differentiable Logic Programming for Distant Supervision Akihiro Takemura and Katsumi Inoue
M1594Explaining the Lack of Locally Envy-Free Allocations Aurélie Beynier, Jean-Guy Mailly, Nicolas Maudet and Anaëlle Wilczynski
M1596ChatZero: Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language [not presented]Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang and Hinrich Schütze
M1597Benchmarking Adversarial Robustness in Speech Emotion Recognition: Insights into Low-Resource Romanian and German Languages Sebastian-Vasile Echim, Răzvan-Alexandru Smădu and Dumitru-Clementin Cercel
M1601Distribution of Chores with Information Asymmetry Hadi Hosseini, Joshua Kavner, Tomasz Wąs and Lirong Xia
M1602Counterfactual Thinking in Stochastic Dynamics of Cooperation António M. Fernandes, Francisco C. Santos and Ana Paiva
M1604QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas and Maarten de Rijke
M1615Learning Joint Models of Prediction and Optimization James Kotary, Vincenzo Di Vito Francesco, Jacob Cristopher, Pascal Van Hentenryck and Ferdinando Fioretto
M1618Coopetition in Heterogeneous Cross-Silo Federated Learning Chao Huang, Justin Dachille and Xin Liu
M1624Adjacent Leader Decentralized Stochastic Gradient Descent Haoze He, Jing Wang and Anna Choromanska
M1627ANSPRE: Improving Question-Answering in Large Language Models with Answer-Prefix Generation Nguyen-Khang Le, Dieu-Hien Nguyen and Nguyen Le Minh
M1632Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof, Eldad Haber and Eran Treister
M1635Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri, Chen Zhao, Feng Chen and Xintao Wu
M1645Planning to be Healthy: Towards Personalized Medication Planning Lee-Or Alon, Hana Weitman, Alexander Shleyfman and Gal Kaminka
M1646Estimating Causal Effects from Learned Causal Networks Anna Raichev, Jin Tian, Alex Ihler and Rina Dechter
M1649CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning Wei Zhu, Yicheng Liu, Yuping He, Tangfei Liao, Kang Zheng, Xiaoqiu Xu, Tao Wang and Tong Lu
M1670Domain Feature Perturbation for Domain Generalization Chenguang Wang, Zijun Zhang and Zhidan Zhou
M1673A Hybrid Approach towards Chinese Spelling and Splitting Error Correction Junhong Liang, Junnan Zhu, Yu Zhou, Feifei Zhai, Nanchang Chen and Chengqing Zong
M1675Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning Hadi Mohaghegh Dolatabadi, Sarah Erfani and Christopher Leckie
M1677Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks Bálint Csanády, Lóránt Nagy, Dániel Boros, Iván Ivkovic, Dávid Kovács, Dalma Tóth-Lakits, László Márkus and András Lukács
M1678Backward Compatibility in Attributive Explanation and Enhanced Model Training Method Ryuta Matsuno
M1683FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation Adda Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga and Renaud Sirdey
M1684MEFusion: Unsupervised Mutual Enhancement for Multimodal Image Fusion Yushe Cao, Siwen Jiao, Penghao Sun, Baoyun Peng, Dianxi Shi and Yuanchun Shi
M1685CODD: A Decision Diagram-based Solver for Combinatorial Optimization Laurent Michel and Willem-Jan van Hoeve
M1687Optimal Diffusion Auctions Yao Zhang, Zheng Shanshan and Dengji Zhao
M1694MixCon: A Hybrid Architecture for Efficient and Adaptive Sequence Modeling Xin Xu and Zhouchen Lin
M1695Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction Sujatha Das Gollapalli, Beng Heng Ang, Mingzhe Du and See-Kiong Ng
M1699UDUC: An Uncertainty-driven Approach for Learning-based Robust Control Yuan Zhang, Jasper Hoffmann and Joschka Boedecker
M1706High-Quality Human Motion Prediction using Size Invariant Motion Space Haichuan Zhao, Xudong Ru, Peng Du, Shaolong Liu, Na Liu, Xingce Wang and Zhongke Wu
M1715Class-Aware Sample Weight Learning for Cross-Modal Unsupervised Domain Adaptation in Cross-User Wearable Human Activity Recognition Tong Wu, Yanbin Liu and Sira Yongchareon
M1717Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer Shuoxi Zhang, Hanpeng Liu, Yuyi Wang and Kun He
M1719Large Language Model Agentic Approach to Fact Checking and Fake News Detection Xinyi Li, Yongfeng Zhang and Edward Malthouse
M1722Large Language Model Prompting With Episodic Memory Van Dai Do, Quan Tran, Svetha Venkatesh and Hung Le
M1730Adaptive Fraud Detection on e-Commerce Platforms Shaowen Tang and Raymond Wong
M1732Differentiating Choices via Commonality for Multiple-Choice Question Answering Wenqing Deng, Zhe Wang, Kewen Wang, Shirui Pan, Xiaowang Zhang and Zhiyong Feng
M1759STPDN: Spatio-Temporal Pattern Decomposition Network with Fluctuation Awareness for Robust Traffic Flow Forecasting Xudong Zhang, Peng Peng, Xuewen Chen, Yulei Wu, Lingdong Shen and Haina Tang
M1762SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao and Osmar Zaiane
M1765One-shot Collaborative Data Distillation Rayne Holland, Chandra Thapa, Wei Shao, Seyit Camtepe and Sarah Ali Siddiqui
M1766Learning Compact Neural Networks via Generalized Structured Sparsity Ke Bian, Lu Sun and Dengji Zhao
M1780Detecting Objects as Cascade Corners Chenglong Liu, Jintao Liu, Haoran Wei, Jinze Yang, Liangyu Xu, Yuchen Guo and Lu Fang
M1806Estimating the Robustness Radius for Randomized Smoothing with 100x Sample Efficiency Emmanouil Seferis, Stefanos Kollias and Chih-Hong Cheng
M1809A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang and Ivor Tsang
M1817Lightweight Transformer for sEMG Gesture Recognition with Feature Distilled Variational Information Bottleneck Zefeng Wang, Bingbing Hu, Junfeng Yao and Jinsong Su
M1821DSPrompt: Prompt Learning with Relation Abstraction and Context Injection for Distant Supervised Relation Extraction Zechen Meng, Wenbin Zhang, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu and Mei Yu
M1827Limited Voting for Better Representation? Maaike Venema-Los, Zoé Christoff and Davide Grossi
M1839Model Priming with Triplet Loss for Few-Shot Emotion Classification in Text Jens Lemmens and Walter Daelemans
M1850ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots Ajnabiul Hoque, Manajit Das, Mayank Baranwal and Raghavan B Sunoj
M1852Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning Georgios Bakirtzis, Michail Savvas, Ruihan Zhao, Sandeep Chinchali and Ufuk Topcu
M1854Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows Nu Hoang, Bao Duong and Thin Nguyen
M1855Revisiting Vacuous Reduct Semantics for Abstract Argumentation Lydia Blümel and Matthias Thimm
M1856Unveiling the Power of Sparse Neural Networks for Feature Selection Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond Veldhuis, Decebal Constantin Mocanu and Mihaela van der Schaar
M1860Efficient Initial Data Selection and Labeling for Multi-Class Classification Using Topological Analysis Lies Hadjadj, Emilie Devijver, Rémi Molinier and Massih-Reza Amini
M1867Scalable Variational Causal Discovery Unconstrained by Acyclicity Nu Hoang, Bao Duong and Thin Nguyen
M1869Control by Adding Players to Change or Maintain the Shapley–Shubik or the Penrose–Banzhaf Power Index in Weighted Voting Games Is Complete for NP^PP Joanna Kaczmarek and Jörg Rothe
M1892Multi-View Prompt for Fine-Grained Multimodal NER and Grounding [not presented]Jintao Liu, Chenglong Liu and Kaiwen Wei
M1893Deep Mapper: Efficient Visualization of Plausible Conformational Pathways Ziyad Oulhaj, Yoshiyuki Ishii, Kento Ohga, Kimihiro Yamazaki, Mutsuyo Wada, Yuhei Umeda, Takashi Katoh, Yuichiro Wada and Hiroaki Kurihara
M1904On explaining with attention matrices Omar Naim and Nicholas Asher
M1911Boundary-Enhanced Instance Segmentation Fangyuan Zhang, Tianxiang Pan, Yu-Wing Tai and Bin Wang
M1912Enhancing Hate Speech Annotations with Background Semantics Paula Reyero Lobo, Enrico Daga, Harith Alani and Miriam Fernandez
M1913Symmetry-Breaking Constraints for Directed Graphs Jussi Rintanen and Masood Feyzbakhsh Rankooh
M1917Fact Probability Vector Based Goal Recognition Nils Wilken, Lea Cohausz, Christian Bartelt and Heiner Stuckenschmidt
M1923Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks Lang Xue, Hanwen Liu, Jing Wang and Hong Qu
M1929A Lazy Approach to Neural Numerical Planning with Control Parameters René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich and Oliver Niggemann
M1974Prompt Based Data Augmentation Using Contrastive Learning Under Scarcity of Annotated Data Muhammad Uzair Ul Haq, Davide Rigoni and Alessandro Sperduti
M1980Augmented prediction of a true class for Positive Unlabeled data under selection bias Jan Mielniczuk and Adam Wawrzeńczyk
M1981Synthesis of Reward Machines for Multi-Agent Equilibrium Design Muhammad Najib and Giuseppe Perelli
M1982Spatial and Frequency-based Feature Reconstruction for Cross-Database Micro-Expression Recognition Zhi Feng, C. L. Philip Chen, Shiting Xu and Tong Zhang
M1985Offline Model-Based Reinforcement Learning with Anti-Exploration Padmanaba Srinivasan and William J. Knottenbelt
M1987Learning in Multi-Objective Public Goods Games with Non-Linear Utilities Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion and Roxana Radulescu
M1991DecorTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection Chen Wang, Sarah Erfani, Tansu Alpcan and Christopher Leckie
M1993Robust Monocular Depth Estimation in Adverse Weather Conditions by Unsupervised Domain Adaptation Jihui Lee, Quoc-Vinh Lai-Dang, Neha Sengar and Dongsoo Har
M2000SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Jiawen Zhang, Kejia Chen, Zunlei Feng, Jian Lou and Mingli Song
M2002Model Provenance via Model DNA Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang and Yue Yu
M2003DeepDFA: Automata Learning through Neural Probabilistic Relaxations Elena Umili and Roberto Capobianco
M2013Approximate Mechanism Design for Facility Location with Multiple Objectives Toby Walsh
M2020The Form and the Content: Non-monotonic Reasoning with Syntactic Contextual Filtering Florence Dupin de Saint-Cyr and Pierre Bisquert
M2022Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion Edgar Heinert, Matthias Rottmann, Kira Maag and Karsten Kahl
M2025SAT-Based Approaches to Reasoning in Choice Logics Tuomo Lehtonen, Andreas Niskanen and Matti Järvisalo
M2026Iteratively Calibrating Prompts for Unsupervised Diverse Opinion Summarization Jian Wang, Yuqing Sun, Yanjie Liang, Xin Li and Bin Gong
M2033An Online Incremental Learning Approach for Configuring Multi-arm Bandits Algorithms Mohammad Essa Alsomali, Roberto Rodrigues Filho, Leandro Soriano Marcolino and Barry Porter
M2035u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang and Yaqian Li
M2036Generating SROI− Ontologies via Knowledge Graph Query Embedding Learning Yunjie He, Daniel Hernandez, Mojtaba Nayyeri, Bo Xiong, Yuqicheng Zhu, Evgeny Kharlamov and Steffen Staab
M2042CAMAOT: Channel-Aware Multi-Camera Active Object Tracking System Maolong Yin, Bin Guo, Zhuo Sun, Lei Wu, Zhaotie Hao and Zhiwen Yu
M2044Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng and Banafsheh Rekabdar
M2045Bridging Continual Learning of Motion and Self-Supervised Representations Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni and Stefano Melacci
M2049Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes and Yang Zhang
M2052Gotta Catch 'Em All! Sequence Flaws in CEGAR for Classical Planning Martín Pozo, Álvaro Torralba and Carlos Linares López
M2054Do we Care about Poll Manipulation in Political Elections? Vincent Mousseau, Henri Surugue and Anaëlle Wilczynski
M2055Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction Ashutosh Sao and Simon Gottschalk
M2064Learning logic programs by finding minimal unsatisfiable subprograms Andrew Cropper and Céline Hocquette
M2069Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations Luca Marzari, Francesco Leofante, Ferdinando Cicalese and Alessandro Farinelli
M2074Fairness in Repeated House Allocation Karl Jochen Micheel and Anaëlle Wilczynski
M2075Hierarchical Average-Reward Linearly-solvable Markov Decision Processes Guillermo Infante, Anders Jonsson and Vicenç Gómez
M2088Explaining an Agent’s Future Beliefs through Temporally Decomposing Future Reward Estimators Mark Towers, Yali Du, Christopher Freeman and Timothy Norman
M2093A Heuristic for Optimal Total-Order HTN Planning Based on Integer Linear Programming Conny Olz, Alexander Lodemann and Pascal Bercher
M2106MC-SORT: A Motion Correction-based Framework for Long-Term Multiple Object Tracking Xiangyu Li, Yunchuan Qin, Ruihui Li, Guanghua Tan, Zhuo Tang and Kenli Li
M2110DINEX: Interpretable NLP via Diversified Natural Language Explanations [not presented]Xugang Zhou, Jindian Su and Weizheng Gu
M2121Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning Wenxuan Zhou, Zhihao Qu, Shen-Huan Lyu, Miao Cai and Baoliu Ye
M2123A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Energy Management Junlin Lu, Patrick Mannion and Karl Mason
M2124Understanding the Impact of Human Oversight on Discriminatory Outcomes in AI-Supported Decision Making Alexia Gaudeul, Ottla Arrigoni, Vasiliki Charisi, Marina Escobar-Planas and Isabelle Hupont-Torres
M2129Cliff: Leveraging Ambiguous Samples for Enhanced Test-Time Adaptation [not presented]Xiao Chen, Qihui Zhang and Yan Wang
M2138On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement Ahmad Saeed Khan, Erik Schaffernicht and Johannes Andreas Stork
M2139Advancing Topic Segmentation of Broadcasted Speech with Multilingual Semantic Embeddings Sakshi Deo Shukla, Pavel Denisov and Tugtekin Turan
M2145The Propensity for Density in Feed-forward Models Nandi Schoots, Alex Jackson, Ali Kholmovaia, Peter McBurney and Murray Shanahan
M2149Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers Lingjun Xu, Haowen Li, Guojie Song, Liang Wang and Bo Zheng
M2162Complex multi-ontology alignment through geometric operations on language embeddings Marta Contreiras Silva, Daniel Faria and Catia Pesquita
M2164Instruction following with goal-conditioned reinforcement learning in virtual environments Zoya Volovikova, Alexey Skrynnik, Petr Kuderov and Aleksandr I. Panov
M2167Contribution of V1 receptive field properties to corruption robustness in CNNs Ruxandra Barbulescu, Tiago Marques and Arlindo Oliveira
M2169Diversity-enhanced Learning for Unsupervised Syntactically Controlled Paraphrase Generation Shaojuan Wu, Jitong Li, Yue Sun, Xiaowang Zhang and Zhiyong Feng
M2170A study of prototypical network techniques for cross-subject EEG analysis Wenchao Liu, Guangyu Wang, Yuhong He, Hongjian Bo, Lin Ma and Haifeng Li
M2184Cascade Memory for Unsupervised Anomaly Detection Jiahao Li, Yiqiang Chen, Yunbing Xing, Yang Gu and Xiangyuan Lan
M2197TED: Accelerate Model Training by Internal Generalization Jinying Xiao, Ping Li and Jie Nie
M2198Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning Gongzhen Hu, Yuanjun Liu, Xiabing Zhou and Min Zhang
M2202Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu and Wei Chu
M2203Federated Learning with Hybrid Knowledge Distillations on Long-Tailed Heterogeneous Client Data Senbin Liu, Yuanting Zhang, Kunhua Zhang and Yi Wang
M2207Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments [not presented]Atith Gandhi, Raj Shah, Vijay Marupudi and Sashank Varma
M2208Designing an XAI Interface for Tree-Based ML Models Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri and Nicolas Szczepanski
M2210ALOE: Boosting Large Language Model Fine-Tuning with Aggressive Loss-based Elimination of Samples Alexander Demidovskij, Aleksei Trutnev, Artyom Tugaryov and Igor Salnikov
M2213On the Computation of Contrastive Explanations for Boosted Regression Trees Gilles Audemard, Jean Marie Lagniez and Pierre Marquis
M2222Uncertainty in real-world vehicle routing Václav Sobotka and Hana Rudová
M2233Locally-Minimal Probabilistic Explanations Yacine Izza, Kuldeep Meel and Joao Marques-Silva
M2238Canonical Decision Diagrams Modulo Theories Massimo Michelutti, Gabriele Masina, Giuseppe Spallitta and Roberto Sebastiani
M2239Hyperparameter Importance Analysis for Multi-Objective AutoML Daphne Theodorakopoulos, Frederic Stahl and Marius Lindauer
M2242A Single Online Agent Can Efficiently Learn Mean Field Games Chenyu Zhang, Xu Chen and Xuan Di
M2248Abductive and Contrastive Explanations for Scoring Rules in Voting Clément Contet, Umberto Grandi and Jérôme Mengin
M2252Planning for Human-Robot Collaboration Scenarios with Heterogeneous Costs and Durations Silvia Izquierdo-Badiola, Gerard Canal, Guillem Alenyà, Carlos Rizzo and Andrew Coles
M2258MCAHNN: Multi-channel EEG emotion recognition using Attention mechanism based on Householder Reflection Qinglong Liu, Wenhao Jiang, Shihang Ding, Kaixuan Wang, Hongjian Bo, Cong Xu, Lin Ma and Haifeng Li
M2266Prompt-based Domain Incremental Learning with Modular Classification Layer Boyu Wang, Yue Ma and Qinru Qiu
M2268Existence of MMS Allocations of Mixed Manna Kevin Hsu
M2275IndMask: Inductive Explanation for Multivariate Time Series Black-box Models Seham Nasr and Sandipan Sikdar
M2286Unified Video and Image Representation for Boosted Video Face Forgery Detection Haotian Liu, Chenhui Pan, Yang Liu, Guoying Zhao and Xiaobai Li
M2287Fairness Auditing with Multi-Agent Collaboration Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg and Gilles Tredan
M2291In-Network Machine Learning for Real-Time Transaction Fraud Detection Xinpeng Hong, Changgang Zheng and Noa Zilberman
M2297Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension Marek Herde, Lukas Lührs, Denis Huseljic and Bernhard Sick
M2298Multi-Agent Path Finding with Task Assignment and Supporting Constraints Caroline Bonhomme, Christophe Grand, Charles Lesire, Jean-Louis Dufour and Christophe Guettier
M2301Navigating Trade-offs: Policy Summarization in Multi-Objective Reinforcement Learning Zuzanna Osika, Jazmin Zatarain-Salazar, Frans Oliehoek and Pradeep Kumar Murukannaiah
M2305FenGe--An Interactive Framework for Improving the Utility of Deep Dune Segmentation in Geographical Tasks Zheng Jiang, Anqi Lu, Zifeng Wu, Wei Wang, Gaowei Zhang, Eerdun Hasi and Yi Wang
M2307GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs Florian Grötschla, Joel Mathys, Christoffer Raun and Roger Wattenhofer
M2309Good Things Come to Those Who Wait: The Power of Sensing in Social Laws Alexander Tuisov, Alexander Shleyfman and Erez Karpas
M2310Development of an Interpretable Uni-Null Neuron-Based Evolving Fuzzy Neural Network for Age Group Identification in Respondents with Diabetes Paulo Vitor de Campos Souza and Mauro Dragoni
M2311Automated Synthesis of Certified Neural Networks Matteo Zavatteri, Davide Bresolin and Nicolò Navarin
M2315EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic Victor Verreet, Lennert De Smet, Luc De Raedt and Emanuele Sansone
M2316Real-time goal recognition using approximations in Euclidean space Douglas Tesch, Leonardo Amado and Felipe Meneguzzi
M2320Complexity Results and Algorithms for Manipulation and Bribery in Judgment Aggregation Ari Conati, Andreas Niskanen, Ronald de Haan and Matti Järvisalo
M2329SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert and Andrew Elliott
M2332RTSR: A Real-Time Table Structure Recognition Approach Nam Quan Nguyen, Xuan Phong Pham and Tuan Anh Tran
M2336VMFTransformer: An Angle-Preserving and Auto-Scaling Machine for Multi-horizon Probabilistic Forecasting Yunyi Zhou, Ruohan Gao, Xinping Zheng, Yuchen Huang and Zhixuan Chu
M2337Multi-agent Planning using Visual Language Models Michele Brienza, Francesco Argenziano, Vincenzo Suriani, Domenico Daniele Bloisi and Daniele Nardi
M2349Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study Sz-Ting Tzeng, Nirav Ajmeri and Munindar P. Singh
M2370Placement Aware Grasp Planning for Efficient Sequential Manipulation Juhan Park, Daejong Jin and Kyungjae Lee
M2373Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images Álvaro S. Hervella, José Rouco, Jorge Novo, Clara I. Sánchez and Marcos Ortega
M2374Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng and Dacheng Tao
M2377Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov Gregory Hyde and Eugene Santos, Jr.
M2387A Practical Operational Semantics for Classical Planning in BDI Agents Mengwei Xu, Tom Lumley, Ramon Fraga Pereira and Felipe Meneguzzi
M2389Monte Carlo tree search with state merging for reinforcement learning in Regular Decision Processes Gabriel Paludo Licks, Fabio Patrizi and Giuseppe De Giacomo
M2390FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding Jingyang Deng, Zhengyang Shen, Boyang Wang, Lixin Su, Suqi Cheng, Ying Nie, Junfeng Wang, Dawei Yin and Jinwen Ma
M2396Unveiling Learner Dynamics: The ECLIPSE Dataset and NeuralGaze Framework for Prolonged Engagement Assessment in Online Learning Avinash Anand, Avni Mittal, Laavanaya Dhawan, Mahisha Ramesh, Juhi Krishnamurthy, Naman Lal, Raj Jaiswal, Pijush Bhuyan, Himani, Astha Verma, Rajiv Ratn Shah, Roger Zimmermann and Shin'Ichi Satoh
M2402RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian and Abbas Rahimi
M2403Taylor expansion in neural networks: How higher orders yield better predictions Pavel Zwerschke, Arvid Weyrauch, Markus Götz and Charlotte Debus
M2407High-Dimensional Causal Bayesian Optimization Yupeng Wu, Weiye Wang, Yangwenhui Zhang, Mingjia Li, Yuanhao Liu, Hong Qian and Aimin Zhou
M2412Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning Lapo Frati, Neil Traft, Jeff Clune and Nick Cheney
M2415CLIP-based Cross-Level Semantic Interaction and Recombination Network for Composed Image Retrieval Zhihang Liu, Qiang Huang and Yingying Zhu
M2418Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning Alperen Tercan and Vinayak Prabhu
M2421Machine Learning for Quantifier Selection in cvc5 Jan Jakubuv, Mikolas Janota, Jelle Piepenbrock and Josef Urban
M2424Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang and Mingli Song
M2436Channel Randomisation Methods for Zero-Shot Communication Dylan Cope and Nandi Schoots
M2439Informed Spectral Normalized Gaussian Processes for Trajectory Prediction Christian Schlauch, Christian Wirth and Nadja Klein
M2445ActivityGen: Extracting Enabled Activities from Screenshots Harry H. Beyel, Sovin Manuel and Wil M. P. van der Aalst
M2447StyleMamba: State Space Model for Efficient Text-driven Image Style Transfer Zijia Wang and Zhi-Song Liu
M2452Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders Teemu Sarapisto, Haoyu Wei, Keijo Heljanko, Arto Klami and Laura Ruotsalainen
M2477IFH: a Diffusion Framework for Flexible Design of Graph Generative Models Samuel Cognolato, Alessandro Sperduti and Luciano Serafini
M2479Discovering Bayesian Networks when Few Variables Matter Madhumita Kundu, Pekka Parviainen and Saket Saurabh
M2482BRECS: Enhanced Binary Representation of Word Embeddings via Cosine Similarity Rajdeep Sarkar, Sourav Dutta and John P. McCrae
M2485Neural Reward Machines Elena Umili, Francesco Argenziano and Roberto Capobianco
M2487An Empirical Study of Grounding PPDDL plans for AI-Driven Robots in Social Environment Gloria Beraldo, Angelo Oddi and Riccardo Rasconi
M2490stl2vec: Semantic and Interpretable Vector Representation of Temporal Logic Gaia Saveri, Laura Nenzi, Luca Bortolussi and Jan Křetínský
M2508Explaining a probabilistic prediction on the simplex with Shapley compositions Paul-Gauthier Noé, Miquel Perello-Nieto, Jean-Francois Bonastre and Peter Flach
M2539EthiX: A Dataset for Argument Scheme Classification in Ethical Debates Elfia Bezou Vrakatseli, Oana Cocarascu and Sanjay Modgil
M2559B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency Wenjing Zhang, Wei Zhang, Wenqing Hu and Yifan Wang
M2563Domain-specific long text classification from sparse relevant information Célia D'Cruz, Jean-Marc Bereder, Frédéric Precioso and Michel Riveill
M2565The Degree of Fairness in Efficient House Allocation Hadi Hosseini, Medha Kumar and Sanjukta Roy
M2573CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution Prithwish Jana, Piyush Jha, Haoyang Ju, Gautham Kishore, Aryan Mahajan and Vijay Ganesh
M2580Decentralized Unlabeled Multi-agent Pathfinding Via Target And Priority Swapping Stepan Dergachev and Konstantin Yakovlev
M2590FedStale: leveraging stale updates in federated learning Angelo Rodio and Giovanni Neglia
M2597Evolving A∗ to Efficiently Solve the k Shortest-Path Problem Carlos Linares Lopez and Ian Herman
M2610NeurCAM: Interpretable Neural Clustering via Additive Models Nakul Upadhya and Eldan Cohen
M2613Reaching New Heights in Multi-Agent Collective Construction Martin Rameš and Pavel Surynek
M2624Ontology Text Alignment: Aligning Textual Content with Domain Terminology Jieying Chen, Hang Dong, Jiaoyan Chen and Ian Horrocks
M2626HBIC: A Biclustering Algorithm for Heterogeneous Datasets Adán José-García, Julie Jacques, Clement Chauvet, Vincent Sobanski and Clarisse Dhaenens
M2627Does Serendipity Enhance Recommendation Quality? Measuring Accuracy and Beyond-Accuracy Objectives of Serendipitous POI Suggestions Imen Ben Sassi, Priit Järv and Sadok Ben Yahia
M2629A Gale-Shapley View of Unique Stable Marriages Kartik Gokhale, Amit Kumar Mallik, Ankit Kumar Misra and Swaprava Nath
M2648Temporal Fairness in Decision Making Problems Manuel Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni and Manuela Veloso
M2671An Axiomatic Perspective on Anomaly Detection Chester Wyke and Ruth Urner
M2672A Neural Rewriting System to Solve Algorithmic Problems Flavio Petruzzellis, Alberto Testolin and Alessandro Sperduti
M2676GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models [not presented]Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban and Mahdieh Soleymani Baghshah
M2683Revisiting the Dataset Bias Problem from a Statistical Perspective Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana and Svetha Venkatesh
M2686Learning Compositional, Time-Varying Neural Barrier Contracts Matthew Low, Timothy E. Wang and Pierluigi Nuzzo
M2693Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh, Parmis Naddaf, Kiarash Zahirnia and Oliver Schulte
M2697Approximate Estimation of High-dimension Execution Skill for Dynamic Agents in Continuous Domains Delma Nieves-Rivera and Christopher Archibald
M2711Enhancing Stance Detection on Social Media via Core Views Discovery Yu Yan, Yinghan Shen, Teli Liu, Xuhui Jiang and Dechun Yin
M2719A More Practical Algorithm for Weighted First-Order Model Counting with Linear Order Axiom Qiaolan Meng, Jan Tóth, Yuanhong Wang, Yuyi Wang and Ondřej Kuželka
M2738Recovering implicit physics model under real world constraints Ayan Banerjee and Sandeep Gupta
M2744Progressive Artistic Aesthetic Enhancement For Chinese Ink Painting Style Transfer Chihan Huang
M2745Towards Unsupervised Model Validation Lihi Idan
M2804Mixup Your Own Latent: Efficient and Robust Self-Supervised Learning on Small Images Eugene Yang, Hao Chen and Seokho Kang
M2807Vanilla Gradient Descent for Oblique Decision Trees Subrat Panda, Blaise Genest, Arvind Easwaran and Ponnuthurai Suganthan
M2810Objective-Informed Diversity for Multi-Objective Multiagent Coordination Gaurav Dixit and Kagan Tumer
M2817REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning Rameez Qureshi, Es-Sebbani Naïm, Luis Galárraga, Yvette Graham, Miguel Couceiro and Zied Bouraoui
M2843A Logic for Policy Based Resource Exchanges in Multiagent Systems Lorenzo Ceragioli, Pierpaolo Degano, Letterio Galletta and Luca Viganò
M2850Contextually Adaptive Algorithms for Gaussian Process Bandit Optimization under Heavy-tailed Noise Hyeonjun Park and Kyungjae Lee
M2856No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design Sankarshan Damle, Varul Srivastava and Sujit Gujar
M2867Measuring User Understanding in Dialogue-based XAI Systems Dimitry Mindlin, Amelie Robrecht, Michael Morasch and Philipp Cimiano
M2887Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text Lucio La Cava, Davide Costa and Andrea Tagarelli
M2894Few-Shot Object Detection with Instance Feature Generation and Hybrid Contrastive Learning Yuhui Wang, Bo Peng, Tianyi Qin, Jiahui Song and Xu Zhang
M2901CAGDR: Confidence-based Acceleration of Generative Document Retrieval Rui Fang, Chin-Yuan Yeh, Hsi-Wen Chen and Ming-Syan Chen
M2906Quantifying a Causal Effect from a CPDAG with Targeted Exogenous Causal Knowledge Mahdi Hadj Ali, Yann Le Biannic and Pierre-Henri Wuillemin
M2909Unlocking Efficiency: Adaptive Masking for Gene Transformer Models Soumyadeep Roy, Shamik Sural and Niloy Ganguly
M2915Exploring Large Language Models Text Style Transfer Capabilities Weijie Li, Zhentao Gu, Xiaochao Fan, Wenjun Deng, Yong Yang, Xinyuan Zhao, Yufeng Diao and Liang Yang
M2932Dynamic Multimodal Prompt Tuning: Boost Few-shot Learning with VLM-Guided Point Cloud Models Xiang Gu, Shuchao Pang, Anan Du, Yifei Wang, Jixiang Miao and Jorge Díez
M2939Improving The Performance of Transformer-based Models Over Classical Baselines in Multiple Transliterated Languages Fahim Ahmed, Md Fahim, Md Ashraful Amin, Amin Ahsan Ali and Akm Mahbubur Rahman

Journal Track

IDTitleAuthors
J1Levi and Harper Identities for Non-prioritized Belief Base ChangeMarco Garapa, Eduardo Fermé and Maurício Reis
J2DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot InteractionAlper Ahmetoglu, M. Yunus Seker, Justus Piater, Erhan Oztop and Emre Ugur
J3Object-agnostic Affordance Categorization via Unsupervised Learning of Graph EmbeddingsAlexia Toumpa and Anthony G. Cohn
J4A k-additive Choquet Integral-based Approach to Approximate the SHAP Values for Local Interpretability in Machine LearningGuilherme Pelegrina, Leonardo Duarte and Michel Grabisch
J5Lifted Reasoning for Combinatorial CountingPietro Totis, Jesse Davis, Luc de Raedt and Angelika Kimmig
J6An Attention Model for the Formation of Collectives in Real-World DomainsAdrià Fenoy, Filippo Bistaffa and Alessandro Farinelli
J7Undesirable Biases in NLP: Addressing Challenges of MeasurementOskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem Zuidema and Katrin Schulz
J8Dealing with Expert Bias in Collective Decision-makingAxel Abels, Tom Lenaerts, Vito Trianni and Ann Nowé
J9Polarized Message-Passing in Graph Neural NetworksTiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu and Xin Luo
J10Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and FrameworkFlorian Felten, El-Ghazali Talbi and Grégoire Danoy
J11Iterative Train Scheduling under Disruption with Maximum SatisfiabilityAlexandre Lemos, Filipe Gouveia, Pedro T. Monteiro and Inês Lynce
J12Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal UncertaintyCharlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
J13Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series ForecastingTing Li, Bing Yu, Jianguo Li, Guoli Yang and Zhanxing Zhu
J14Dynamic Controllability of Temporal Plans in Uncertain and Partially Observable EnvironmentsArthur Bit-Monnot and Paul Morris

Demo Track

IDTitleAuthors
D1EVIDENT: Enhanced Visualization and Design Integration from Textual Edits and PromptsMiguel Escarda Fernández, Xin Lin, Iñigo López-Riobóo Botana and Sonia González Vázquez
D7Device-Specific Facial Descriptors: Winning a Lottery with a SuperNetAndrey Savchenko, Dmitry Maslov and Ilya Makarov
D11Gas Grid Copilot: Can a MORL agent assist a dispatcher in managing a gas grid?Alexander Schiendorfer, Gheorghe Lisca, Karima Outafraout, Lilia Michailov, Pascal Kätzel and Rudolf Felix
D13Assisted Debate Builder with Large Language ModelsElliot Faugier, Frédéric Armetta, Angela Bonifati and Bruno Yun
D15Answerable Sociotechnical SystemsDilara Keküllüoğlu, Michael Rovatsos and Nadin Kokciyan
D16ANTIDOTE: ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicineCristian Cardellino, Theo Collias, Benjamin Molinet, Erwan Hain, Wei Sun, Rodrigo Agerri, Serena Villata and Elena Cabrio
D21PEACE: Providing Explanations and Analysis for Combating Hate ExpressionsGreta Damo, Nicolás Benjamín Ocampo, Elena Cabrio and Serena Villata
D24EEG-based fMRI digital twin: towards a cheap and ecological approach to measure subcortical brain activityNikolay Dagaev, Ilia Semenkov and Alexei Ossadtchi
D31AI-powered virtual reality system for training wrist amputees to use advanced prosthetic solutionsVladislav Aksiotis, Oleg Sazonov, Kamila Nasrulina, Daria Medvedeva, Uliya Nekrasova and Alexei Ossadtchi
D36Nissist: An Incident Mitigation Copilot based on Troubleshooting GuidesKaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang and Qi Zhang
D40A SAM based Tool for Semi-Automatic Food AnnotationLubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato and Stavroula Mougiakakou
D43CA-SER: Cross-Attention Feature Fusion for Speech Emotion RecognitionBashar M. Deeb, Andrey Savchenko and Ilya Makarov
D44STV+FLY: On-the-Fly Model Checking of Strategic Ability in Multi-Agent SystemsMateusz Kamiński, Damian Kurpiewski and Wojtek Jamroga
D46A Demonstration of AI Personalized Interactive Fiction for Young ChildrenJasmine Lesner, Luke Murayama, Tony Guizar, Poom Phunjamaneechot and Daniel Shapiro
D47AI-Powered Immersive Assistance for Interactive Task Execution in Industrial EnvironmentsTomislav Duricic, Peter Müllner, Nicole Weidinger, Neven Elsayed, Dominik Kowald and Eduardo Veas
D48KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical PruningPierre Monnin, Cherif-Hassan Nousradine, Lucas Jarnac, Laurel Zuckerman and Miguel Couceiro
D50InsideOut: Unifying Emotional LLMs to Foster EmpathyMikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey Savchenko and Ilya Makarov
D53UCCIX: Irish-eXcellence Large Language ModelKhanh-Tung Tran, Barry O'Sullivan and Hoang D. Nguyen

PAIS

IDTitleAuthors
P2Equipment Condition-Integrated Predictive Modeling for Optimized Scheduling of Ion Implantation in Semiconductor ManufacturingAndreas Laber, Martin Gebser and Konstantin Schekotihin
P6A Robust and Scalable Approach to Meet User Preferences in Research Project PlanningRoger Lera-Leri and Filippo Bistaffa
P18Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision MakingMin Hun Lee, Renee Bao Xuan Ng, Silvana Xinyi Choo and Shamala Do Thilarajah
P21A predictive model for risk management of the hospitalised patient as a clinical decision support systemIsabel Benlloch-Blasco, Stella Heras, Javier Palanca, Vicent Botti, Antonio Ruiz, Isabel Miguel and Mª Isabel Marmol Lopez
P22An Intelligent Pipeline for Localization of Industrial Components in Robotic Manufacturing ApplicationsParth Rawal, Daniel Valencia and Wolfgang Hintze
P25More (enough) is Better: Towards Few-Shot Illegal Landfill Waste SegmentationMatias Molina, Carlos Ferreira, Bruno Veloso, Rita P. Ribeiro and João Gama
P30Automatic Motor Imagery classification by CNN-Transformer-LSTM using multi-channel EEG signalsDuc Thien Pham and Roman Mouček
P35Large Language Models for Question Answering over Proprietary DataDario Garigliotti, Bjarte Johansen, Jakob Vigerust Kallestad, Seong-Eun Cho and Cesar Ferri
P36Enhancing Decision-Making in Energy Management Systems through Action-Independent Dynamics LearningThéo Zangato, Aomar Osmani and Pegah Alizadeh
P37Predicting Solar Heat Production to Optimize Renewable Energy UsageTatiana Boura, Natalia Koliou, George Meramveliotakis, Stasinos Konstantopoulos and George Kosmadakis
P43Constrained LLM-based Query Generation for Question Answering on Official StatisticsJonas Kouwenhoven, Lucas Lageweg and Benno Kruit
P45License plate images generation with diffusion modelsMariia Shpir, Nadiya Shvai and Amir Nakib
P46Entity Matching Across Small Networks Using Node AttributesZahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth Madikeri, Petr Motlicek, Erinc Dikici, Gerhard Backfried, Marek Kovac, Kvetoslav Maly and Daniel Kudenko
P47Novelty Accommodating Multi-Agent Planning in High Fidelity Simulated Open WorldJames Chao, Wiktor Piotrowski, Roni Stern, Héctor Ortiz-Peña, Mitch Manzanares, Shiwali Mohan and Douglas Lange
P48A Data-Driven Approach Supporting Location Decisions for Docking Stations in Bike-Sharing SystemsBlerina Spahiu, Daniela Briola, Riccardo Sartori and Giuseppe Vizzari
P49iSee: Advancing Multi-Shot Explainable AI Using Case-based RecommendationsAnjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martínez, Belen Díaz-Agudo, Derek Bridge and Anne Liret
P52Automated Impact Echo Spectrum Classification using U-Net AutoencoderArtur Liebert, Fabian Dethof, Sylvia Keßler and Oliver Niggemann
P53GIF: An Automated Genomic Information Finder to Extract Data from ReportsPavithra Rajendran, Alexandros Zenonos, Sebin Sabu, Anastasia Spiridou, Helena Spiridou Goncalves, Nastazja Laskowski, Daniel Key, Shiren Patel, Rebecca Pope and Neil Sebire
P54ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language ModelZhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang and Sophia Ananiadou
P57Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase RecommendationAshirbad Mishra, Soumik Dey, Jinyu Zhao, Hansi Wu, Binbin Li and Kamesh Madduri
P60Enhancing Manufacturing Knowledge Access with LLMs and Context-aware PromptingSebastian Monka, Stefan Schmid, Irlan Grangel-Gonzalez, Lavdim Halilaj, Marc Rickart, Oliver Rudolph and Rui Dias
P62Improving Process Yield through Manufacturing Digital Twin using Conditional Synthetic Data Engine (COSYNE)Shantanu Chandra, Matthieu Duvinage, Pks Prakash, Patrick Davis and Sander Timmer
P64Estimating the Time of Arrival of a Shipment with Machine LearningFrancesco Gibellini, Bart van Gool, Murat Firat and Stefano Bromuri
P68Federated Online Learning for Heavy Hitter DetectionPaula Silva, João Vinagre and Joao Gama
P70Frisbees and Dogs: Domain Adaptation For Object Detection with Limited Labels in Rugby DataWill Connors, Ellen Rushe and Anthony Ventresque
P73Match'In - Pilot project of an algorithm-based decision support system for individualized recommendations of municipalities for the integration of refugeesChristian Sauer, Carsten Wenzel, Katharina Euler, Sonja Reinhold, Frank Wuttke and Björn Oitmann
P76Reverse engineering of vinyl acetate polymerizations by genetic algorithm-based multi-objective optimizationJelena Fiosina, Philipp Sievers, Marco Drache and Sabine Beuermann
P80X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement LearningFarhad Safaei, Miloš Nenadović, Roman Liessner, Raphael Theilen, Jakob Wittenstein, Jens Lehmann and Sahar Vahdati
P85Adaptive Context Embedding for Temperature Prediction in Residential BuildingsSai Sushanth Varma Kalidindi, Hadi Banaee, Hans Karlsson and Amy Loutfi
P86Leveraging User-Generated Reviews for Recommender Systems with Dynamic HeadersShanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag and Kannan Achan
P87Fuzzy Ensemble Learning and Lightweight CNN for stress classificationKatarzyna Baran
P88Physics-Assisted Explainable Anomaly Detection in Power SystemsMatthew Lau, Fahad Alsaeed, Kayla Thames, Nano Suresettakul, Saman Zonouz, Wenke Lee and Athanasios P Meliopoulos
P90AI Personalized Interactive Fiction for Young ChildrenJasmine Lesner, Luke Murayama, Tony Guizar, Poom Phunjamaneechot and Daniel Shapiro
P93Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity RecognitionDamien Bouchabou and Sao Mai Nguyen
P101Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-AttentionElizaveta Kovtun, Galina Boeva, Andrey Shulga and Alexey Zaytsev

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