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• Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition

  Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu

  1131-1139

  2022-06-28

• A Causal Inference Look at Unsupervised Video Anomaly Detection

  Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu

  1620-1629

  2022-06-28

• Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

  Chang Lu, Tian Han, Yue Ning

  4567-4574

  2022-06-28

• Modification-Fair Cluster Editing

  Vincent Froese, Leon Kellerhals, Rolf Niedermeier

  6631-6638

  2022-06-28

• Reinforcement Learning of Causal Variables Using Mediation Analysis

  Tue Herlau, Rasmus Larsen

  6910-6917

  2022-06-28

• Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer

  Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang

  11566-11574

  2022-06-28

• Numerical Approximations of Log Gaussian Cox Process (Student Abstract)

  Francois Buet-Golfouse, Hans Roggeman

  12923-12924

  2022-06-28

• Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

  Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu

  4497-4506

  2023-06-26

• Evaluating Digital Agriculture Recommendations with Causal Inference

  Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis

  14514-14522

  2023-06-26

• Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning

  Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong

  12-20

  2024-03-25

• NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR

  Jooyoung Lee, Jaeyoon Lee, Jongwon Choi

  4508-4516

  2025-04-11

• LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs

  Kai Chen, Xin Song, Ye Wang, Liqun Gao, Aiping Li, Xiaojuan Zhao, Bin Zhou, Yalong Xie

  11481-11489

  2025-04-11

• Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models

  Zheng Hu, Zhe Li, Ziyun Jiao, Satoshi Nakagawa, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren

  11799-11807

  2025-04-11

• Curriculum Conditioned Diffusion for Multimodal Recommendation

  Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng

  13035-13043

  2025-04-11

• BrainMAP: Learning Multiple Activation Pathways in Brain Networks

  Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li

  14432-14440

  2025-04-11

• Learning Structural Causal Models from Ordering: Identifiable Flow Models

  Minh Khoa Le, Kien Do, Truyen Tran

  17831-17839

  2025-04-11

• Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction

  Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing

  202-210

  2026-03-14

• SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels

  Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman

  525-533

  2026-03-14

• Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic

  Wenhao Yan, Ning An, Wei Qiao, Weiheng Wu, Zhigang Lu, Bo Jiang, Baoxu Liu, Junrong Liu

  1409-1417

  2026-03-14

• Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models

  Xinzhe Zheng, Shiyu Jiang, Gustavo Seabra, Chenglong Li, Yanjun Li

  1614-1622

  2026-03-14

• NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation

  Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang

  14756-14764

  2026-03-14

• Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators

  Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Kaize Ding, Ranjay Krishna

  21903-21911

  2026-03-14

• Sparse Additive Model Pruning for Order-Based Causal Structure Learning

  Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi

  22491-22499

  2026-03-14

• A Novel Sliced Fused Gromov-Wasserstein Distance

  Moritz Piening, Robert Beinert

  24828-24836

  2026-03-14

• COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series

  Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo

  25572-25580

  2026-03-14