Time Series Forecasting with Covariates

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19 papers8 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

  1. WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting

    Oct 19, 2026Arjun Ashok, Mihir Parmar, Palash Goyal +6Time Series ForecastingTime Series Forecasting with Covariates

    Google · Mila - Quebec AI Institute · Université de Montréal +1

  2. Multi-site Learning for Forecasting Day-Ahead Wind-Power Production for Onshore Wind Farms in Great Britain with Deep Neural Networks

    Oct 18, 2026James Kean, Aidan O'SullivanWind Power ForecastingTime Series Forecasting

    UCL Energy Institute, University College London

  3. Data-driven forecasting of tropical cloud forest phenology: A dynamical systems and machine learning hybrid approach

    Oct 18, 2026Pedro Garcia, Saul FloresTime Series ForecastingTime Series Forecasting with Covariates

    Departamento de Física, Facultad de Ingeniería, Universidad Católica Andrés Bello, Caracas, Venezuela · Laboratorio de Ecología de Suelos, Centro de Ecología, Instituto Venezolano de Investigaciones Científicas, Caracas, Venezuela

  4. World Models, Trees and Foundation Models for Retail Forecasting: Evidence from Four Public Data Sets

    Oct 18, 2026Karthik Iyer, Madan DabbeeruTime Series ForecastingTime Series Forecasting with Covariates

  5. On the Encoding of Calendar Features in Covariate-Informed Time Series Foundation Models

    Oct 9, 2026Alexander Kreusel, Maximilian Beichter, Alexandra Nikoltchovska +4Time Series Forecasting with CovariatesTime Series Forecasting

    Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe, Germany

  6. JudgeCast: Time Series Forecasting with Experience-Informed Covariate Judgements

    Sep 29, 2026Donguk Kwon, Wooseok Jeong, Dongha LeeTime Series ForecastingTime Series Forecasting with Covariates

    Yonsei University · Konkuk University

  7. XMatch: Enhancing Covariate-Aware Time Series Forecasting through Tree-Structured Exogenous Matching

    Sep 28, 2026Ziyang Zhang, Hanyin Cheng, Xiangfei Qiu +3Multivariate Time Series ForecastingTime Series Forecasting

    East China Normal University

  8. WorldTS: World Modeling for Multimodal Covariate-aware Time Series Forecasting

    Sep 25, 2026Yuhan Zhu, Xiangfei Qiu, Hanyin Cheng +5Time Series Forecasting with CovariatesTime Series Forecasting

    East China Normal University · Aalborg University

  9. t0t_0: A Time-Series Foundation Model for Forecasting with Context

    Sep 21, 2026Lucas Meyer, Claudio Sole, Huikan Xiang +6Time Series ForecastingZero-Shot Time Series Forecasting

    The Forecasting Company · Macrocosm

  10. Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting

    Jul 24, 2026Wan Zhang, Qinjie Lin, Chan Lee +3Multivariate Time Series ForecastingTime Series Forecasting

    The AMSS Center of Forecasting Science, Chinese Academy of Sciences, Beijing, China · Department of Computer Science, Northwestern University, Evanston, IL · Department of Statistics and Data Science, Northwestern University, Evanston, IL +1

  11. Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates

    Jul 5, 2026Hao Hu, Xue-shan AiNeural Network RobustnessTime Series Forecasting

    State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China · Hubei Key Laboratory of Water System Science for Sponge City Construction (Wuhan University), Wuhan 430072, China

  12. TiRex-2: Generalizing TiRex to Multivariate Data and Streaming

    Jul 1, 2026Patrick Podest, Marco Pichler, Elias Bürger +7Multivariate Time Series ForecastingZero-Shot Time Series Forecasting

    ELLIS Unit Linz, LIT AI Lab & Institute for Machine Learning, JKU Linz, Austria · NXAI Lab, Linz, Austria · NXAI GmbH, Linz, Austria +1

  13. CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting

    Jun 9, 2026Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara +1Synthetic Data PretrainingZero-Shot Time Series Forecasting

    Research & Development Group, Hitachi Ltd., Tokyo, Japan

  14. Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS

    May 12, 2026Gaspard Berthelier, Mariia Baranova, Andrei-Tiberiu Pantea +4Multivariate Time Series ForecastingTime Series Forecasting

    EDF R&D, Palaiseau · Inria Sophia-Antipolis, Université Côte d’Azur · Université Paris Cit'e

  15. Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates

    Mar 18, 2026Linxiao Yang, Xue Jiang, Gezheng Xu +9Time Series ForecastingMultivariate Time Series Forecasting

    DAMO Academy, Alibaba Group, Hangzhou, China

  16. Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables

    Mar 16, 2026Andres Potapczynski, Ravi Kiran Selvam, Tatiana Konstantinova +7Exogenous Time Series ForecastingTime Series Forecasting

    Amazon Science, New York University · Amazon Science

  17. Retrieval-Augmented Generation with Covariate Time Series

    Mar 5, 2026Kenny Ye Liang, Zhongyi Pei, Huan Zhang +3Time Series Forecasting with CovariatesRetrieval-Augmented Time Series Forecasting

    Tsinghua University · China Southern Airlines

  18. DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters

    Feb 6, 2026Haoran Zhang, Haixuan Liu, Yong Liu +4Exogenous Time Series ForecastingTime Series Forecasting

    School of Software, BNRist, Tsinghua University

  19. fev-bench: A Realistic Benchmark for Time Series Forecasting

    Sep 30, 2025Oleksandr Shchur, Abdul Fatir Ansari, Caner Turkmen +5Benchmark DesignTime Series Forecasting

    AWS · Keystone AI · Prior Labs +2