Imputation

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10 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Prediction-powered inference for time series across space

    Oct 6, 2026Shahzar Rizvi, David Burt, Vishwak Srinivasan +3Spatiotemporal PredictionAgricultural Prediction

    MIT LIDS · UMass Amherst · Stanford University +1

  2. Hybrid Methods for Robust Tabular Data Imputation

    Sep 30, 2026Jinwei Li, Michelle Bruch, Daniel TenbrinckImputationRandom Forest

    Department of Data Science Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen, Germany

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

    Sep 29, 2026Fariza Rashid, Duc Van Le, Rahat Masood +3Imputation

    University of Sydney · University of New South Wales

  4. Language as the Interface: Foundation-Model Contrastive Learning Links Transcriptomes and Electrophysiology

    Sep 29, 2026Junbo Shen, Jinying Gao, Bo LeiElectroencephalography Foundation ModelsMultimodal Foundation Model

    Department of Computer Science and Engineering, The Chinese University of Hong Kong · State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China · Beijing Academy of Artificial Intelligence, Beijing, China +1

  5. Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness

    Sep 23, 2026Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1ImputationFederated Learning

    ARTORG Center for Biomedical Engineering Research University of Bern, Bern, Switzerland · Graduate School for Cellular and Biomedical Sciences University of Bern, Bern, Switzerland

  6. SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals

    Sep 15, 2026Fangke Chen, Sirry Chen, Wei Chen +1Wearable PhysiologyTime Series Foundation Models

    School of Integrated Circuits, Zhejiang University Hangzhou, China · Shanghai Innovation Institute Shanghai, China · School of Data Science, Fudan University Shanghai, China +1

  7. Impute-EM: Native Mixed-State Diffusion Models for Heterogeneous Data Imputation

    Sep 14, 2026Sergei Kholkin, Kirill Sokolov, Dmitry Baranchuk +2ImputationExpectation-Maximization

    Applied AI Institute · Applied AI Institute, Moscow State University · Yandex Research +1

  8. Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features

    Sep 14, 2026Siqi Li, Wangxuan Fan, Yiming Li +2Shapley ValueImputation

    Centre for Biomedical Data Science, Duke-NUS Medical School · School of Data Science, Chinese University of Hong Kong, Shenzhen · Department of Biostatistics, Columbia University +3

  9. RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation

    Sep 10, 2026Ramiro Valdes Jara, David Chapman, Adam MeyersImputationResidual Conditional Diffusion Model

    Department of Industrial and Systems Engineering, University of Miami, United States of America · Department of Computer Science, University of Miami, United States of America

  10. 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 +4Accurate Flood PredictionImputation

    European Space Agency, Φ-lab · European Space Agency, Science Hub · Serco Italia SpA, Rome, Italy +4

  11. How Much Velocity Does Off-Ball Space Value Need? A Broadcast-Viewport Benchmark

    Sep 9, 2026Seongjin ChoiConditional VelocitySpeeds

    Independent researcher.

  12. A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity

    Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Missing DataImputation

    Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada · Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario, Ontario, Canada · Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA +1

  13. 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 +1Tropical CyclonesImputation

    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

  14. Handling Missing Data in Probabilistic Regression Trees

    Aug 6, 2026Taiane Schaedler Prass, Alisson Silva Neimaier, Guilherme PumiMissing DataImputation

    a Graduate Program in Statistics - Universidade Federal do Rio Grande do Sul.

  15. From fragmented data to actionable design: Physics-calibrated learning for plastic upcycling

    Aug 3, 2026Jingyang Bai, Zijia Wang, Xiangyi Long +3WasteImputation

    Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK · Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK · Interdisciplinary Research Center for Refining and Advanced Chemicals, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia +4

  16. GLAIM: Learning Global and Local Adaptive Inter-Variable Dependency for Multivariate Time Series Imputation

    Aug 3, 2026Mingyang Wang, Rongwen Li, Xiao Wang +1ImputationMultivariate Time-Series

    College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

  17. Implicit Neural Representations for Multimodal Longitudinal Image Imputation and Interpolation

    Aug 3, 2026Sina Wendrich, Lukas Förner, Zoe Reinke +5Magnetic Resonance ImagingImputation

    Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Augsburg, Germany · Digital Medicine, University Hospital Augsburg, Augsburg, Germany · Chair for Computer-Aided Medical Procedures and Augmented Reality, Technical University of Munich, Garching bei München, Germany +3

  18. MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation

    Jul 31, 2026Rongchao Xu, Lin Jiang, Dahai Yu +2Imputation

    Department of Computer Science, Florida State University, Tallahassee, FL, USA

  19. Flow Matching with Missing Data

    Jul 30, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Peizhong JuImputationConditional Flow Matching

    Department of Computer Science, University of Kentucky

  20. Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments

    Jul 26, 2026Zhichen Lai, Huan Li, Dalin Zhang +3Internet Of ThingImputation

    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

  21. FILLER: Feature Imputation via Latent Location Exploration and Retrieval

    Jul 25, 2026Santu Mondal, Chayan Maitra, Rajat K. DeImputationInpainting

    Machine Intelligence Unit Indian Statistical Institute 203 Barrackpore Trunk Road Kolkata 700108

  22. Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting

    Jul 23, 2026Ferdinand Bhavsar, Lionel Benoit, Maxime Savatier +1Probabilistic Basin-Scale Runoff LstmsForecasting Backbone

    INRAE · Biostatistics and Spatial Processes (BioSP), INRAE, Avignon 84914, France · ANDRA +1

  23. Kernel Regression with Tensor Trains and Hadamard Overparameterization

    Jul 19, 2026Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1OverparameterizationImputation

    Institute of Science Tokyo, Dept. Information and Communications Engineering, Yokohama, Japan · University of Piraeus, Dept. Statistics and Insurance Science, Greece · Florida Atlantic University, Center for Connected Autonomy and Artificial Intelligence & Dept. Electrical Engineering and Computer Science, USA

  24. DS@GT ARC at eRisk 2026: Hybrid Multi-Agent LLM System with Structured Algorithmic Guidance for Conversational Depression Screening

    Jul 18, 2026Victor Gong, David GuechaDepressionOpenai

    Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332

  25. Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

    Jul 13, 2026Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4AlzheimerImputation

    Platform of Bioinformatics, Lausanne University Hospital. · Faculty of Biology and Medicine, University of Lausanne. · 3Leenaards Memory Centre, Lausanne University Hospital. +1

  26. Training-Free Off-Screen Player Imputation for Broadcast-Based Spatial Football Analytics

    Jul 13, 2026Seongjin ChoiImputation

    Independent researcher.

  27. SPORT: Structure-Aware Prototype Disentanglement for Incomplete Multi-View Clustering

    Jul 11, 2026Yaoyuan Guo, Zhibin Gu, Songhe Feng +2Multi-ViewLearnable Prototypes

    College of Computer and Cyberspace Security, Hebei Normal University, Shijiazhuang 050024, China · Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China · Key Laboratory of Tibetan Information Processing, Ministry of Education, Qinghai Normal University, Xining 810008, China +2

  28. ImputeViz: A Visual Analytics Dashboard for Diagnosing Missing Data and Comparing Imputation Methods

    Jul 9, 2026Aitik Dandapat, Lalith Punepalle Raveendrareddy, Mithilesh Kumar Singh +1ImputationMissing Data

    Stony Brook University

  29. ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation

    Jul 8, 2026Xuan-Thong Truong, Trung-Kien Le, Tung Kieu +2ImputationTimestep Embeddings

    School of Computer Science, Hanoi University of Science and Technology, Hanoi, Vietnam · Department of Computer Science, Aalborg University, Aalborg, Denmark

  30. Distributionally Faithful Imputation via Positive Semi-Definite Kernel Density Estimation

    Jul 8, 2026Andrea Basteri, Carlo Ciliberto, Alessandro RudiImputationDensity Ratio Estimation

    Inria - Ecole Normale Supériore · Department of Computer Science - UCL · SDA Bocconi School of Management

  31. Imputation Meets Clustering: Exploiting Latent Subgroup Structure for Missing Data Recovery

    Jul 8, 2026Chuyao Zhang, E Li, Taochen Chen +5ImputationMissing Data

    Guangdong University of Technology, Guangzhou, China · Hong Kong Baptist University, Hong Kong, China

  32. Missing Data Imputation under Manifold Hypothesis

    Jul 3, 2026Zelong Bi, Amuchechukwu Ibenegbu, Sarat MokaImputationMissing Data

  33. Predicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies

    Jul 2, 2026Debopriya GhoshAlzheimerBiomarker

  34. MNAR-kk-means: A kk-means Clustering for Data Missing Not at Random with Magnitude-Decaying Probability

    Jun 30, 2026Xin GuanK-MeansImputation

    Graduate School of Information Sciences Tohoku University Sendai, Miyagi 980-8579, Japan

  35. Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data?

    Jun 23, 2026Giulia Perciballi, Ahmad Fall, Federica Granese +2Tabular Foundation ModelsBacterial Colony Counting

    IRD, Sorbonne Université, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (UMMISCO), Paris, France · Inria, CNRS, I3S, Université Côte d’Azur, Valbonne, France · INSERM, Nutrition et Obésités; Approches Systémiques, NutriOmique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France

  36. Statistical Matching via Schrödinger Bridge beyond Conditional Independence

    Jun 22, 2026Eunho Koo, Tongseok Lim, Jinwon SohnImputationConditional Independence

    Department of Big Data Convergence Chonnam National University · Mitch Daniels School of Business Purdue University · Booth School of Business University of Chicago

  37. Unified Multimodal Model for Brain MRI Imputation and Understanding

    Jun 15, 2026Zhiyun Song, Che Liu, Tian Xia +2Multimodal Clinical DataMagnetic Resonance Imaging

    Department of Computing, Imperial College London, London, UK · Department of Brain Sciences, Imperial College London, London, UK

  38. Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting

    Jun 11, 2026Yifan Hu, Hongzhou Chen, Peiyuan Liu +3ImputationPartial Observability

    Ant International

  39. In-Context Learning for the Imputation of Public Opinion Data with Large Language Models

    Jun 8, 2026Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1ImputationSurvey

    LMU Munich · Munich Center for Machine Learning · University of Mannheim +2

  40. PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning

    Jun 8, 2026Zekai Chen, Miao Zhang, Jiayang Xing +4Federated Graph LearningMissing Modalities

    Beijing Institute of Technology, Beijing, 100081, China

  41. SNR-ST-Mix: Sample-specific Neighborhood Regression Mixup for Augmented Spatial Transcriptomics Imputation with Deep Neural Network

    Jun 7, 2026Hongyi Yu, Yaoyu Fang, Jiahe Qian +3Spatial TranscriptomicsData Augmentation

    Northwestern University, Department of Radiology, Chicago, IL, USA · Yale University, Department of Biostatistics, New Haven, CT, USA · Northwestern University, Department of Cell and Developmental Biology, Chicago, IL, USA +1

  42. Spatiotemporal Imputation with Graph-Informed Flow Matching

    Jun 4, 2026Zepeng Zhang, Aref Einizade, Jhony H. Giraldo +1ImputationConditional Flow Matching

    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

  43. PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

    Jun 4, 2026Ziwen Kan, Wugeng Zheng, Tianlong Chen +1ImputationMissing Modalities

    Department of Computer Science, University of Central Florida · Department of Computer Science, University of North Carolina at Chapel Hill

  44. TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning

    Jun 4, 2026Etienne Le Naour, Tahar Nabil, Adrien PetraliaTime Series Foundation ModelsTime Series

    1EDF R&D, Palaiseau, France

  45. TabSODA: Tabular Diffusion based Imputation with Skip Pattern Detection and Ordinal Awareness

    Jun 3, 2026Yuyu Chen, Taehyo Kim, Hai Shu +1ImputationSkip

    Department of Biostatistics NYU School of Global Public Health

  46. Learning What Not to Impute: An Uncertainty-Aware Diffusion Framework for Meaningful Missingness

    Jun 3, 2026Lixing Zhang, Yidong Ouyang, Weifu Li +3ImputationMissing Data

    University of Minnesota · University of California, Los Angeles · Carnegie Mellon University

  47. HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation

    Jun 3, 2026Hongfan Gao, Wangmeng Shen, Bin Yang +1Time-Series GenerationImputation

    School of Data Science and Engineering East China Normal University

  48. Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation

    Jun 2, 2026Natansh Mathur, Panagiotis Kl. Barkoutsos, Masako Yamada +2Quantum Neural NetworksHardware-Aware

    IRIF, CNRS and Université Paris Cité and QC Ware, France · QC Ware, France · IonQ +2

  49. Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs

    May 28, 2026Benjamin Walker, Alexandre Bloch, Lingyi Yang +2Neural Ordinary Differential EquationsLatent Dynamics

    Mathematical Institute University of Oxford · School of Mathematical Sciences University of Nottingham · Department of Mathematics, Imperial College London

  50. Latent Diffusion for Missing Data

    May 27, 2026Alberte Heering Estad, Ignacio Peis, Jes FrellsenImputationLatent Diffusion Model

    Technical University of Denmark · Pioneer Centre for Artificial Intelligence

  51. Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random

    May 25, 2026Gyuwon Sim, Sumin Lee, Heesun Bae +5ImputationExpectation-Maximization

    KAIST · Seoul National University

  52. Group-Aware Matrix Estimation and Latent Subspace Recovery

    May 19, 2026Hamza Golubovic, Matthew Shen, Genevera I. Allen +1Tensor CompletionLow-Rank Structure

    Department of Statistics, Columbia University New York, NY 10027 · Department of Statistics, Irving Institute for Cellular Dynamics, Zuckerman Institute Columbia University New York, NY 10027 · School of Data and Information Sciences, University of North Carolina at Chapel Hill Chapel Hill, NC 27599

  53. Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data

    May 19, 2026Ferdinand Genans, Erwan ScornetMissing DataStochastic Gradient Descent

    SU, LPSM · Sorbonne Université and Université Paris Cité, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, F-75005 Paris, France

  54. Remote sensing data imputation using deep learning for multispectral imagery

    May 19, 2026Shuang Liu, Fiona Johnson, Rohitash ChandraHyperspectral ImageImputation

    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

  55. Learning Higher-Order Structure from Incomplete Spatiotemporal Data: Multi-Scale Hypergraph Laplacians with Neural Refinement

    May 17, 2026Keshu Wu, Sixu Li, Zihao Li +3HypergraphsGraph Laplacians

    Texas A&M University · University of Wisconsin-Madison

  56. Federated Imputation under Heterogeneous Feature Spaces

    May 15, 2026Imane Hocine, Chaimaa Medjadji, Sylvain Kubler +2Heterogeneous Federated LearningFederated Learning

    SnT, University of Luxembourg, Luxembourg · FSTM/DCS, University of Luxembourg, Luxembourg

  57. MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion

    May 13, 2026Wugeng Zheng, Ziwen Kan, Tianlong Chen +2Missing ModalitiesMultimodal Fusion

    University of Central Florida · University of North Carolina at Chapel Hill

  58. LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information

    May 13, 2026Stef van BuurenLarge Language Model UncertaintyIncomplete

    1. TNO - Netherlands Organization for Applied Scientific Research, Leiden · 2. Dept. of Methodology and Statistics, University of Utrecht

  59. PRA-PoE: Robust Multimodal Alzheimer's Diagnosis with Arbitrary Missing Modalities

    May 13, 2026Guangqian Yang, Ye Du, Wenlong Hou +2Missing ModalitiesMultimodal Learning

    Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Technology Management for Innovation, The University of Tokyo,2026 Japan · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China

  60. U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation

    May 12, 2026Yichen Zhang, Jun LiImputationTemporal Graph Neural Networks

    School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.