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• Situation Calculus Temporally Lifted Abstractions for Generalized Planning

  Giuseppe de Giacomo, Yves Lespérance, Matteo Mancanelli

  14848-14857

  2025-04-11

• A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus

  Liangda Fang, Xiaoman Wang, Zhang Chen, Kailun Luo, Zhenhe Cui, Quanlong Guan

  14911-14921

  2025-04-11

• Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning

  Daoming Zong, Chaoyue Ding, Kaitao Chen, Yinsheng Li, Shuaiyu Wang

  15265-15273

  2025-04-11

• Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning

  Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar

  15311-15319

  2025-04-11

• Active Fourier Auditor for Estimating Distributional Properties of ML Models

  Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

  15330-15338

  2025-04-11

• Unleashing the Potential of Model Bias for Generalized Category Discovery

  Wenbin An, Haonan Lin, Jiahao Nie, Feng Tian, Wenkai Shi, Yaqiang Wu, Qianying Wang, Ping Chen

  15365-15373

  2025-04-11

• Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data

  Bailey Andrew, David R. Westhead, Luisa Cutillo

  15391-15398

  2025-04-11

• Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement

  Seungheun Baek, Soyon Park, Yan Ting Chok, Junhyun Lee, Jueon Park, Mogan Gim, Jaewoo Kang

  15445-15452

  2025-04-11

• Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants

  Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav

  15481-15488

  2025-04-11

• Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning

  Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

  15524-15531

  2025-04-11

• Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting

  Ruichu Cai, Haiqin Huang, Zhifan Jiang, Zijian Li, Changze Zhou, Yuequn Liu, Yuming Liu, Zhifeng Hao

  15641-15649

  2025-04-11

• Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering

  Guoqing Chao, Kaixin Xu, Xijiong Xie, Yongyong Chen

  15713-15721

  2025-04-11

• Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning

  Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan Fern, Jana Doppa

  15722-15730

  2025-04-11

• Biased Incomplete Multi-View Learning

  Haishun Chen, Cai Xu, Ziyu Guan, Wei Zhao, Jinlong Liu

  15767-15775

  2025-04-11

• Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning

  Liuqing Chen, Shuhong Xiao, Shixian Ding, Shanhai Hu, Lingyun Sun

  15821-15829

  2025-04-11

• Federated Foundation Models on Heterogeneous Time Series

  Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

  15839-15847

  2025-04-11

• DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game

  Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun

  15904-15912

  2025-04-11

• Anchor Learning with Potential Cluster Constraints for Multi-view Clustering

  Yawei Chen, Huibing Wang, Jinjia Peng, Yang Wang

  15939-15947

  2025-04-11

• Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing

  Yiyuan Chen, Donghai Guan, Weiwei Yuan, Tianzi Zang

  15948-15956

  2025-04-11

• GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling

  Yujie Chen, Wenhui Wu, Le Ou-Yang, Ran Wang, Debby D. Wang

  15966-15974

  2025-04-11

• WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization

  Minjie Cheng, Dixin Luo, Hongteng Xu

  16010-16018

  2025-04-11

• Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings

  Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou

  16055-16063

  2025-04-11

• A Similarity Paradigm Through Textual Regularization Without Forgetting

  Fangming Cui, Jan Fong, Rongfei Zeng, Xinmei Tian, Jun Yu

  16100-16108

  2025-04-11

• How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?

  Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu

  16280-16288

  2025-04-11

• Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks

  Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

  16298-16307

  2025-04-11