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• TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

  Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

  4120-4127

  2022-06-28

• A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling

  Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander

  21663-21671

  2026-03-14

• Online ARIMA Algorithms for Time Series Prediction

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

  2016-02-21

• VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval

  Peng Wu, Wanshun Su, Xiangteng He, Peng Wang, Yanning Zhang

  8423-8431

  2025-04-11

• ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting

  Ke Sun, Pei Liu, Pengfei Li, Zhifang Liao

  9035-9043

  2024-03-24

• ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning

  Jingwen Wang, Dehui du, Lili Tian, Yikang Chen, Yida Li, YiYang Li

  27671-27679

  2025-04-11

• Conformal Prediction Regions for Time Series Using Linear Complementarity Programming

  Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann

  20984-20992

  2024-03-24

• Adversarial Dynamic Shapelet Networks

  Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison Cottrell

  5069-5076

  2020-04-03

• Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

  Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee

  169-177

  2021-05-18

• Exact Inference for Continuous-Time Gaussian Process Dynamics

  Katharina Ensinger, Nicholas Tagliapietra , Sebastian Ziesche, Sebastian Trimpe

  11883-11891

  2024-03-24

• Robust Test-Time Adaptation for Zero-Shot Prompt Tuning

  Ding-Chu Zhang, Zhi Zhou, Yu-Feng Li

  16714-16722

  2024-03-24

• Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

  Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser

  5145-5153

  2024-03-24

• Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects

  Abdeslam Boularias, James Bagnell, Anthony Stentz

  2014-06-21

• Inductive Graph Neural Networks for Spatiotemporal Kriging

  Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun

  4478-4485

  2021-05-18

• ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation

  Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang

  15537-15545

  2026-03-14

• Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

  Mengzhang Li, Zhanxing Zhu

  4189-4196

  2021-05-18

• AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting

  Binqing Wu, Zongjiang Shang, Shiyu Liu, Jianlong Huang, Jiahui Xu, Ling Chen

  15941-15949

  2026-03-14

• Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

  Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan

  914-921

  2020-04-03

• ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data

  Zhaolin Yuan, Xiaojuan Ban, Zixuan Zhang, Xiaorui Li, Hong-Ning Dai

  11060-11068

  2023-06-26

• Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures

  Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

  6801-6809

  2022-06-28

• NLIP: Noise-Robust Language-Image Pre-training

  Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang

  926-934

  2023-06-26

• Continuous-Time Graph Representation with Sequential Survival Process

  Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

  11177-11185

  2024-03-24

• Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning

  Kun Wei, Zhe Xu, Cheng Deng

  21465-21473

  2025-04-11

• From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning

  Meiju Li, Ruixiang Sun, Xin Li, Mingzhong Wang

  23003-23011

  2026-03-14

• Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

  Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

  7296-7304

  2024-03-24