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• Simulating Network Paths with Recurrent Buffering Units

  Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan

  6684-6692

  2023-06-26

• Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction

  Xiangyun Tang, Dongliang Liao, Weijie Huang, Jin Xu, Liehuang Zhu, Meng Shen

  582-590

  2021-05-18

• 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

• Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models

  Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

  10361-10369

  2023-06-26

• Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications

  Thi Kieu Khanh Ho

  41054-41055

  2026-03-14

• GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping

  Bang An, Xun Zhou, Zirui Zhou, Ronilo Ragodos, Zenglin Xu, Jun Luo

  11427-11435

  2025-04-11

• Vision-Language Models for Robot Success Detection

  Fiona Luo

  23750-23752

  2024-03-24

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

  Swapnil Mane, Suman Kundu, Rajesh Sharma

  28249-28257

  2025-04-11

• CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph

  Hongjie Xia, Huijie Ao, Long Li, Yu Liu, Sen Liu, Guangnan Ye, Hongfeng Chai

  9187-9195

  2024-03-24

• 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

• Online ARIMA Algorithms for Time Series Prediction

  Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun

  2016-02-21

• RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection

  Rui Ding, Zhaonian Kuang, Zongwei Zhou, Meng Yang, Xinhu Zheng, Gang Hua

  3605-3613

  2026-03-14

• Hierarchical Graph Convolution Network for Traffic Forecasting

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

  151-159

  2021-05-18

• Expressive Forecasting of 3D Whole-Body Human Motions

  Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang

  1537-1545

  2024-03-24

• Directional Label Rectification in Adaptive Graph

  Xiaoqian Wang, Hao Huang

  2018-04-26

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

  Ivan Karpukhin, Andrey Savchenko

  22536-22544

  2026-03-14

• 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

• Incentive-Compatible Forecasting Competitions

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

  2018-04-25

• 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

• RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning

  Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng

  34151-34159

  2026-03-14

• Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise

  Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura

  14866-14874

  2024-03-24

• Continuous-Time Attention for Sequential Learning

  Jen-Tzung Chien, Yi-Hsiang Chen

  7116-7124

  2021-05-18

• Using Decomposition-Parameters for QBF: Mind the Prefix!

  Eduart Eiben, Robert Ganian, Sebastian Ordyniak

  2016-02-21

• Learning the Parameters of Bayesian Networks from Uncertain Data

  Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A Feldman

  12190-12197

  2021-05-18