Irregular Time-Series Modeling

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11 papers in the last four weeks, up 175% on the four weeks before. 0.1% of all new papers.

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  1. Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation

    May 9, 2026Panteleimon RodisIrregular Time-Series ModelingAutoencoders

    University of Macedonia, Greece

  2. Event Fields: Learning Latent Event Structure for Waveform Foundation Models

    May 9, 2026Li Na, Yuanyun Zhang, Shi LiIrregular Time-Series ModelingLatent Dynamics Modeling

    University of Science and Technology of China · Columbia University

  3. Densification and forecasting of Sentinel-2 time series from multimodal SAR and Optical satellite data using deep generative models

    May 5, 2026Véronique Defonte, Dawa Derksen, Alexandre Constantin +1Irregular Time-Series ModelingRemote Sensing

    Thales Services Num´eriques 31670 Lab`ege, France · Centre National d’Etudes Spatiales 31400 Toulouse, France

  4. Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories

    May 4, 2026Ran Tong, Tong Wang, Lanruo Wang +1Irregular Time-Series ModelingAlzheimer's Disease

    Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080, United States · Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT, United States · Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX 75080, United States +1

  5. Differentiable latent structure discovery for interpretable forecasting in clinical time series

    Apr 30, 2026Ivan Lerner, Jean Feydy, Alexandre Kalimouttou +2Irregular Time-Series ModelingHealthcare

    Universit´e Paris Cit´e and Universit´e Sorbonne Paris Nord, INRIA, Inserm, HEKA, Paris, 75015, France. · Department of Medical Informatics, Assistance Publique Hˆopitaux de Paris (AP-HP), Georges Pompidou European Hospital, Paris, France. · SIERRA, Inria Paris, Paris, 75015, France. +2

  6. Probabilistic Circuits for Irregular Multivariate Time Series Forecasting

    Apr 30, 2026Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-ThiemeIrregular Time-Series ModelingMultivariate Time Series Forecasting

    1ISMLL, University of Hildesheim, Germany

  7. End-to-End Learning for Partially-Observed Time Series with PyPOTS

    Apr 27, 2026Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1Irregular Time-Series ModelingTime Series Imputation

    PyPOTS Research · PyPOTS Research & Univ. of Oxford · Squirrel Ai Learning

  8. CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting

    Apr 24, 2026Jeffrey Näf, Riana Valera Mbelson, Markus MeiererIrregular Time-Series ModelingVariational Autoencoders

    Research Institute for Statistics and Information Science, University of Geneva · Institute of Management, University of Geneva

  9. SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

    Mar 20, 2026Ruiying Chen, Yutong Wang, Houliang Zhou +3Irregular Time-Series ModelingAlzheimer's Disease

    Lehigh University, Bethlehem, PA, USA · New York University, New York, NY, USA · University of Pennsylvania, Philadelphia, PA, USA

  10. Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates

    Feb 4, 2026Irene Iele, Giulia Romoli, Daniele Molino +4Irregular Time-Series ModelingMultivariate Time Series Forecasting

    Unit of Artificial Intelligence and Computer Systems, Universit`a Campus Bio-Medico di Roma, Italy · Department of Diagnostics and Intervention, Biomedical Engineering and Radiation Physics, Ume˚a University, Sweden · Department of Naval, Electrical, Electronics and Telecommunications Engineering, University of Genoa, Italy

  11. Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations

    Jan 20, 2026Xu Zhang, Junwei Deng, Chang Xu +2Irregular Time-Series ModelingNeural Controlled Differential Equations

    Microsoft Research, Beijing, China · University of Illinois Urbana-Champaign, Illinois, United States · Imperial College London, London, United Kingdom

  12. FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification

    Nov 13, 2025YongKyung Oh, Dong-Young Lim, Sungil KimIrregular Time-Series ModelingTime Series Classification

    Medical & Imaging Informatics (MII) Group, University of California, Los Angeles (UCLA), CA, USA · Department of Industrial Engineering, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea · Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea

  13. Temporal Variational Implicit Neural Representations

    Jun 2, 2025Batuhan Koyuncu, Rachael DeVries, Ole Winther +1Irregular Time-Series ModelingMultivariate Time Series Forecasting

    Department of Computer Science, Saarland University · Department of Biology, University of Copenhagen · Novo Nordisk A/S +1

  14. A Jump-Diffusion Framework for Irregular Time Series Generation

    May 29, 2025O. Pfohl, J. Chemseddine, P. Hagemann +3Irregular Time-Series ModelingStochastic Differential Equations

    Department of Mathematics, Humboldt-Universität zu Berlin, 12489, Berlin, Germany · Department of Mathematics, Technische Universität Berlin, 10623, Berlin, Germany · Bundesanstalt für Materialforschung und -prüfung, 12205, Berlin, Germany +1

  15. Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data

    Feb 22, 2024YongKyung Oh, Dong-Young Lim, Sungil KimIrregular Time-Series ModelingTime Series Imputation

    Ulsan National Institute of Science and Technology, Republic of Korea

  16. DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis

    Jan 10, 2024YongKyung Oh, Dong-Young Lim, Sungil KimIrregular Time-Series ModelingTime Series Imputation

    Medical & Imaging Informatics (MII) Group, University of California, Los Angeles (UCLA), CA, USA · Department of Industrial Engineering, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea · Artificial Intelligence Graduate School, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea