Time Series Imputation

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6 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 39

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ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Sep 29, 2026Fariza Rashid, Duc Van Le, Rahat Masood +3Time Series Imputation Conditional Diffusion Models
University of Sydney · University of New South Wales
Cyclostationary Phase Conditioning for Medical Time Series Diffusion
Sep 28, 2026Samuel Ruiperez-Campillo, Michele Copetti, Jorge da Silva Goncalves +3Time Series Imputation Diffusion-Based Inverse Problems
Dept. of Computer Science ETH Zurich
SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals
Sep 15, 2026Fangke Chen, Sirry Chen, Wei Chen +1Irregular Time-Series Modeling Time Series Imputation
School of Integrated Circuits, Zhejiang University Hangzhou, China · Shanghai Innovation Institute Shanghai, China · School of Data Science, Fudan University Shanghai, China +1
RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation
Sep 10, 2026Ramiro Valdes Jara, David Chapman, Adam MeyersTime Series Imputation Conditional Diffusion Models
Department of Industrial and Systems Engineering, University of Miami, United States of America · Department of Computer Science, University of Miami, United States of America
A Dataset and Model for Imputing Water Surface Elevation on a Large and Extremely Sparse Spatiotemporal Graph
Sep 10, 2026Ruben Cartuyvels, Karim Douch, Gabriele Bertoli +4Time Series Imputation Incomplete Data Imputation
European Space Agency, Φ-lab · European Space Agency, Science Hub · Serco Italia SpA, Rome, Italy +4
Recovering Biomechanical Signals from Missing Keypoints Using Temporal Interpolation in Monocular Gait Analysis
Sep 9, 2026Shubham JariwalaTime Series Imputation Gait Analysis
Information Systems Technology and Design, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372, Singapore
Air Quality Station Simulation via LSTM and Attention-Based Modelling
Aug 12, 2026Alexander Kostadinov, Petar O. Hristov, Dessislava Petrova-AntonovaMultivariate Time Series Forecasting Time Series Imputation
GATE Institute Sofia University “St Kliment Ohridski” 5 James Bourchier Blvd, 1164, Sofia
GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Irregular Time-Series Modeling Graph Attention Networks
Department of Informatics University of Zürich · SCAI Lab, D-HEST ETH Zürich & SPF
Deep Learning Imputation of Missing Radius of Maximum Winds (Rmax) Values in Tropical Cyclone Best-Track Data
Aug 10, 2026Swastik Agrawal, Nishkal Hundia, Ziyue Liu +1Time Series Imputation
Department of Computer Science, University of Maryland, College Park, MD, USA · Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA · 3Edwardson School of Industrial Engineering, Purdue University, West Lafayette, IN, USA
GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation
Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1Time Series Imputation Learning with Missing Data
College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China
Global-Scale Self-Supervised Spatiotemporal Learning for NDVI Time-Series Reconstruction
Aug 3, 2026Ang Li, Menghui Jiang, Xiaobin Guan +2Time Series Imputation Self-Supervised Learning
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China · School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China · Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze River Basin, Wuhu 241002, China +2
MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation
Jul 31, 2026Rongchao Xu, Lin Jiang, Dahai Yu +2Time Series Imputation Incomplete Data Imputation
Department of Computer Science, Florida State University, Tallahassee, FL, USA
Inferring Missing Trajectory Data with Temporal Convolutional Networks
Jul 27, 2026Ilinca Tiriblecea, Gabriel TuriniciTime Series Imputation Temporal Convolutional Networks
Independent Researcher, Oxford, UK · CEREMADE, Université Paris Dauphine - PSL, CNRS, Paris, FRANCE
Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments
Jul 26, 2026Zhichen Lai, Huan Li, Dalin Zhang +3Time Series Imputation Internet of Things
College of Computer and Data Science, Fuzhou University, Fuzhou, China; the Engineering Research Center of Big Data Intelligence, Ministry of Education, Fuzhou, China; the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China; and the Department of Computer Science, Aalborg University, Aalborg, Denmark · College of Computer Science and Technology, Zhejiang University, Hangzhou, China, and the State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · Space Information Research Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang, China, and the Department of Computer Science, Aalborg University, Aalborg, Denmark +3
Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting
Jul 23, 2026Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1Multivariate Time Series Forecasting Time Series Imputation
INRAE · Biostatistics and Spatial Processes (BioSP), INRAE, Avignon 84914, France · ANDRA +1
ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation
Jul 8, 2026Xuan-Thong Truong, Trung-Kien Le, Tung Kieu +2Time Series Imputation Representation Alignment
School of Computer Science, Hanoi University of Science and Technology, Hanoi, Vietnam · Department of Computer Science, Aalborg University, Aalborg, Denmark
ImputeECG: Deep Learning Reconstruction of Complete 12-Lead Electrocardiograms from Incomplete Recordings for Cardiac Assessment
Jul 6, 2026Xiaocheng Fang, Haoyu Wang, Jieyi Cai +14Time Series Imputation Incomplete Data Imputation
National Institute of Health Data Science, Peking University, Beijing, China · School of Intelligence Science and Technology, Peking University, Beijing, China · Institute of Medical Technology, Peking University Health Science Center, Beijing, China +6
Spatiotemporal Imputation with Graph-Informed Flow Matching
Jun 4, 2026Zepeng Zhang, Aref Einizade, Jhony H. Giraldo +1Flow Matching Time Series Imputation
IMOS, EPFL, 1015 Lausanne, Switzerland · SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, 91120 Palaiseau, France · LTCI, Télécom Paris, Institut Polytechnique de Paris, 91120 Palaiseau, France
PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data
Jun 4, 2026Ziwen Kan, Wugeng Zheng, Tianlong Chen +1Missing-Modality Learning Flow Matching
Department of Computer Science, University of Central Florida · Department of Computer Science, University of North Carolina at Chapel Hill
TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning
Jun 4, 2026Etienne Le Naour, Tahar Nabil, Adrien PetraliaIrregular Time-Series Modeling Time Series Imputation
1EDF R&D, Palaiseau, France
HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
Jun 3, 2026Hongfan Gao, Wangmeng Shen, Bin Yang +1Time Series Imputation Multiscale Time-Series Modeling
School of Data Science and Engineering East China Normal University
FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
May 28, 2026Kjersti Engan, Neel Kanwal, Anita Yeconia +4Time Series Imputation Masked Autoencoders
University of Stavanger, Stavanger, Norway · Haydom Lutheran Hospital, Haydom, Tanzania · Stavanger University Hospital, Stavanger, Norway
Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random
May 25, 2026Gyuwon Sim, Sumin Lee, Heesun Bae +5Time Series Imputation Incomplete Data Imputation
KAIST · Seoul National University
Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions
May 22, 2026Yuefeng Liu, Ning Yang, Ziyu YangDistribution Shift Robustness Time Series Imputation
School of Digital and Intelligent Industry (School of Cyber Science and Technology), Inner Mongolia University of Science and Technology, Baotou, China
Remote sensing data imputation using deep learning for multispectral imagery
May 19, 2026Shuang Liu, Fiona Johnson, Rohitash ChandraTime Series Imputation Remote Sensing
Water Research Centre, University of New South Wales, Sydney, NSW, 2052, Australia · ARC ITTC Data Analytics for Resources and Environments, University of New South Wales, Sydney, NSW, 2052, Australia · Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, University of New South Wales, Sydney, NSW, 2052, Australia
XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis
May 18, 2026Israel Zexer, Omri AzencotMultivariate Time Series Forecasting Time Series Imputation
The Stein Faculty of Computer and Information Science Ben-Gurion University of the Negev
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
May 12, 2026Yichen Zhang, Jun LiLong-Term Time Series Forecasting Time Series Imputation
School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.
HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
May 4, 2026Fengming Zhang, Wenjie Du, Huan Zhang +2Time Series Imputation Representation Learning
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China · School of Management, Beijing Institute of Technology, Beijing 100081, China · Beijing Lab for System Engineering of Carbon Neutrality, Beijing 100081, China +1
SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting
Apr 30, 2026Arnaud ZinflouTime Series Imputation Incomplete Data Imputation
Hydro-Québec Research Institute Canada
End-to-End Learning for Partially-Observed Time Series with PyPOTS
Apr 27, 2026Wenjie Du, Yiyuan Yang, Tianxiang Zhan +1Irregular Time-Series Modeling Time Series Imputation
PyPOTS Research · PyPOTS Research & Univ. of Oxford · Squirrel Ai Learning

Sep 29, 2026, cs.LGJ/K move · Enter open · S save

ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

Fariza Rashid, Duc Van Le, Rahat Masood, Gustavo Batista+2

University of Sydney · University of New South Wales

Time Series Imputation Conditional Diffusion Models

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Time series imputation has progressed from statistical and deep learning approaches to diffusion-based models, which have shown strong recent performance. Existing diffusion-based methods typically condition the reverse process using local contextual information from the current or neighbouring windows. Meanwhile, global dataset-level structure often remains implicit, limiting performance when local observations are sparse, noisy, or unrepresentative. To address this issue, we propose ProCTI, a diffusion-imputation framework that augments local conditioning with retrieved global dataset-level priors through learned prototypes. A hybrid conditioning mechanism integrates this global context with local signals during reverse diffusion, enabling more accurate reconstruction under varying missingness scenarios. Experiments across multiple benchmark datasets show that ProCTI outperforms strong baselines overall under random missingness, while remaining competitive under attribute-wise missingness. Furthermore, we use a latent-regime data model to characterise the precise conditions under which prototype-derived global conditioning provably improves imputation. We support this with a general theoretical analysis of local-global conditioning.

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