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• Simplifying Control Mechanism in Text-to-Image Diffusion Models

  Zhida Feng, Li Chen, Yuenan Sun, Jiaxiang Liu, Shikun Feng

  3013-3021

  2025-04-11

• Auto-Regressive Moving Diffusion Models for Time Series Forecasting

  Jiaxin Gao, Qinglong Cao, Yuntian Chen

  16727-16735

  2025-04-11

• Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks

  Niklas Erdmann, Lars Bentsen, Roy Stenbro, Heine Nygard Riise, Narada Dilp Warakagoda, Paal E. Engelstad

  255-264

  2026-03-14

• U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting

  Xiang Ma, Xuemei Li, Lexin Fang, Tianlong Zhao, Caiming Zhang

  14255-14262

  2024-03-24

• Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation

  Xiaosen Lyu, Jiayu Xiong, Yuren Chen, Wanlong Wang, Xiaoqing Dai, Jing Wang

  24226-24234

  2026-03-14

• CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing

  Xiaole Xian, Xilin He, Zenghao Niu, Junliang Zhang, Weicheng Xie, Siyang Song, Zitong Yu, Linlin Shen

  8593-8601

  2025-04-11

• AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation

  Lei Wang, Liang Zeng, Jian Li

  10140-10148

  2023-06-26

• A Theoretical Analysis of Detecting Large Model-Generated Time Series

  Junji Hou, Junzhou Zhao, Shuo Zhang, Pinghui Wang

  21788-21796

  2026-03-14

• TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

  Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao

  18780-18788

  2025-04-11

• InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting

  Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang

  6906-6915

  2023-06-26

• Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models

  Jingchao Ni

  39827-39828

  2026-03-14

• CometNet: Contextual Motif-guided Long-term Time Series Forecasting

  Weixu Wang, Xiaobo Zhou, Xin Qiao, Lei Wang, Tie Qiu

  26480-26488

  2026-03-14

• Learning from the Tangram to Solve Mini Visual Tasks

  Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

  3490-3498

  2022-06-28

• Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

  Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

  11106-11115

  2021-05-18

• An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction

  Shouyi Wang, Kinming Kam, Cao Xiao, Stephen Bowen, Wanpracha Chaovalitwongse

  2016-03-02

• Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

  Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

  7953-7960

  2021-05-18

• WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting

  Zichi Zhang, Tuan Dung Pham, Yimeng An, Ngoc Phu Doan, Majed Alsharari, Viet-Hung Tran, Anh-Tuan Hoang, Hans Vandierendonck, Son T. Mai

  22741-22749

  2025-04-11

• TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data

  Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak

  20761-20769

  2025-04-11

• Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose

  Harry Rubin-Falcone, Joyce Lee, Jenna Wiens

  9650-9657

  2023-06-26

• AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data

  Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

  22962-22968

  2024-03-24

• HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting

  Andrey Savchenko, Oleg Kachan

  25200-25208

  2026-03-14

• Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting

  Yanhong Li, Jack Xu, David Anastasiu

  171-179

  2024-03-25

• Analyzing and Mitigating Object Hallucination: A Training Bias Perspective

  Yifan Li, Kun Zhou, Xin Zhao, Lei Fang, Jirong Wen

  6636-6643

  2026-03-14

• Optical Flow Estimation from a Single Motion-blurred Image

  Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Jae Won Cho, In So Kweon

  891-900

  2021-05-18

• Hierarchical Classification Auxiliary Network for Time Series Forecasting

  Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu

  20743-20751

  2025-04-11