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• OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

  Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

  24216-24225

  2026-03-14

• Green Driver: AI in a Microcosm

  Jim Apple, Paul Chang, Aran Clauson, Heidi Dixon, Hiba Fakhoury, Matthew Ginsberg, Erin Keenan, Alex Leighton, Kevin Scavezze, Bryan Smith

  1311-1316

  2011-08-04

• QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism

  Xunyue Mo, Weibin Wu, Qingrui Tu, Hang Wang, Junxi He, Zibin Zheng

  8098-8106

  2026-03-14

• Towards Effective Code-Integrated Reasoning

  Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Hongteng Xu

  30022-30030

  2026-03-14

• GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting

  Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu

  23343-23351

  2024-03-24

• SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines

  Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng, Jing Liu

  6101-6109

  2023-06-26

• Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement

  Mohamed Ali Souibgui, Sanket Biswas, Andres Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluis Gomez, Dimosthenis Karatzas

  2330-2338

  2023-06-26

• MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting

  Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu

  11141-11149

  2024-03-24

• HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting

  Feng Shibo, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen

  746-754

  2025-04-11

• Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting

  Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan

  19651-19658

  2025-04-11

• Secure and Automated Enterprise Revenue Forecasting

  Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners

  2018-04-27

• GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

  Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

  16255-16263

  2024-03-24

• 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

• KOALA: A Kalman Optimization Algorithm with Loss Adaptivity

  Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro

  6471-6479

  2022-06-28

• SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies

  Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun

  11417-11425

  2023-06-26

• Latent Diffusion Transformer for Probabilistic Time Series Forecasting

  Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao

  11979-11987

  2024-03-24

• WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting

  Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz

  19581-19588

  2025-04-11

• IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation

  Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang

  3454-3462

  2023-06-26

• Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors

  Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav

  12608-12614

  2022-06-28

• WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series

  Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang

  10754-10761

  2023-06-26

• Optimal Look-back Horizon for Time Series Forecasting in Federated Learning

  Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan

  25823-25830

  2026-03-14

• 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

• Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting

  Muyao Wang, Wenchao Chen, Bo Chen

  15563-15570

  2024-03-24

• Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting

  Nam Nguyen, Brian Quanz

  9117-9125

  2021-05-18

• Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping

  Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song

  3459-3467

  2024-03-24