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• TSGAN: Temporal Social Graph Attention Network for Aggressive Behavior Forecasting

  Swapnil Mane, Suman Kundu, Rajesh Sharma

  28249-28257

  2025-04-11

• Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

  Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng

  6998-7005

  2023-06-26

• Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks

  Tony Gracious, Ambedkar Dukkipati

  16897-16905

  2025-04-11

• Hierarchical Graph Convolution Network for Traffic Forecasting

  Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin

  151-159

  2021-05-18

• Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)

  Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang

  16360-16361

  2024-07-15

• Adaptable Regression Method for Ensemble Consensus Forecasting

  John Williams, Peter Neilley, Joseph Koval, Jeff McDonald

  2016-03-05

• Incentive-Compatible Forecasting Competitions

  Jens Witkowski, Rupert Freeman, Jennifer Vaughan, David Pennock, Andreas Krause

  2018-04-25

• On Geometric Alignment in Low Doubling Dimension

  Hu Ding, Mingquan Ye

  1460-1467

  2019-07-17

• Predictive Maintenance for General Aviation Using Convolutional Transformers

  Hong Yang, Aidan LaBella, Travis Desell

  12636-12642

  2022-06-28

• Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

  Sérgio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos

  9038-9046

  2023-06-26

• W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search

  Zhenyu Ding, Yuhao Wang, Tengyue Xiao, Haoying Wang, Guojun Ma, Mingyang Wan, Caigui Jiang, Ning Ding

  30521-30529

  2026-03-14

• Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval

  Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang

  1377-1385

  2023-06-26

• Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms

  Yuhang Wang, Yanxu Zhu, Jitao Sang

  17814-17822

  2026-03-14

• Kernelized Sorting for Natural Language Processing

  Jagadeesh Jagaralmudi, Seth Juarez, Hal Daume

  1020-1025

  2010-07-04

• ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

  Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen

  12031-12039

  2025-04-11

• Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving

  Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu

  9327-9335

  2025-04-11

• TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting

  Shiqi Zhang, Pan Mu, Cheng Huang, Jinglin Zhang, Cong Bai

  1120-1128

  2025-04-11

• GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting

  Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan

  4402-4409

  2021-05-18

• NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting

  Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth

  11604-11612

  2022-06-28

• RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery

  Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski

  14902-14910

  2021-05-18

• CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting

  Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe

  12191-12199

  2022-06-28

• Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching

  Ivan Karpukhin, Andrey Savchenko

  22536-22544

  2026-03-14

• HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting

  Zichi Zhang, Phi Hung Nguyen, Ngoc Phu Doan, Viet-Hung Tran, Xuan Hoang Nguyen, Hui Wang, Hans Vandierendonck, Son Thai Mai

  39628-39636

  2026-03-14

• Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving

  Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li

  962-970

  2026-03-14

• Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting

  Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang

  3638-3646

  2019-07-17