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• JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)

  Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski

  23447-23448

  2024-03-24

• eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms

  Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun

  15630-15638

  2024-07-15

• DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series

  Qingxiong Tan, Mang Ye, Baoyao Yang, Siqi Liu, Andy Jinhua Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, PongChi Yuen

  930-937

  2020-04-03

• TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection

  Jaeseok Jang, Hyuk-Yoon Kwon

  17582-17589

  2025-04-11

• Ripple: Concept-Based Interpretation for Raw Time Series Models in Education

  Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Vignoud, Mirko Marras, Tanja Käser

  15903-15911

  2024-07-15

• FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting

  Yulong Wang, Yushuo Liu, Xiaoyi Duan, Kai Wang

  21375-21383

  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

• TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis

  Jiexi Liu, Meng Cao, Songcan Chen

  18861-18869

  2025-04-11

• Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series

  Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

  1395-1402

  2020-04-03

• GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting

  Yuqi Yuan, Xiong Luo, Qiaojuan Peng, Wenbing Zhao

  28041-28049

  2026-03-14

• MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution

  Hua Chang, Xin Xu, Wei Liu, Wei Wang, Xin Yuan, Kui Jiang

  2725-2733

  2026-03-14

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

  Junji Hou, Junzhou Zhao, Shuo Zhang, Pinghui Wang

  21788-21796

  2026-03-14

• Directional Label Rectification in Adaptive Graph

  Xiaoqian Wang, Hao Huang

  2018-04-26

• 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

• Detecting Multivariate Time Series Anomalies with Zero Known Label

  Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng

  4963-4971

  2023-06-26

• Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval

  Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen

  1403-1411

  2020-04-03

• Auto-Regressive Moving Diffusion Models for Time Series Forecasting

  Jiaxin Gao, Qinglong Cao, Yuntian Chen

  16727-16735

  2025-04-11

• A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract)

  Vahid Naghashi, Abdoulaye Banire Diallo

  13021-13022

  2022-06-28

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

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

  26480-26488

  2026-03-14

• 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

• 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

• EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting

  Zhiwei Zhang, Xinyi Du, Xuanchi Guo, Weihao Wang, Wenjuan Han

  28636-28644

  2026-03-14

• 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

• Partial Correlation-Based Attention for Multivariate Time Series Forecasting

  Won Kyung Lee

  13720-13721

  2020-04-03

• Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal

  Yuwen He, Wei Wang, Wanyu Wu, Kui Jiang

  3464-3472

  2025-04-11