Incomplete Data Imputation

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5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. MatrixFormer: A Foundation Model for Matrix Completion

    Oct 5, 2026Dwaipayan Saha, Jacob Feitelberg, Kyuseong Choi +2Incomplete Data ImputationTransformer

    Cornell Tech

  2. Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates

    Oct 4, 2026Renhao Zhong, Zihan Zhou, Chiyuan Ma +1Incomplete Data ImputationLearning with Missing Data

    The Chinese University of Hong Kong, Shenzhen · Shanghai Artificial Intelligence Laboratory

  3. Hybrid Methods for Robust Tabular Data Imputation

    Sep 30, 2026Jinwei Li, Michelle Bruch, Daniel TenbrinckIncomplete Data ImputationTabular ML

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

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

    Sep 23, 2026Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1Incomplete Data ImputationMasked Autoencoders

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

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

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

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

  6. 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 ImputationIncomplete Data Imputation

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

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

    Aug 30, 2026Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1Variational AutoencodersIncomplete Data Imputation

    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

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

    Jul 31, 2026Rongchao Xu, Lin Jiang, Dahai Yu +2Time Series ImputationIncomplete Data Imputation

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

  9. Flow Matching with Missing Data

    Jul 30, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Peizhong JuFlow MatchingIncomplete Data Imputation

    Department of Computer Science, University of Kentucky

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

    Jul 25, 2026Santu Mondal, Chayan Maitra, Rajat K. DeIncomplete Data ImputationLearning with Missing Data

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

  11. Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models

    Jul 22, 2026Yurong Liu, Yeye He, Haoyu Dong +4Incomplete Data ImputationSelective Prediction

    New York University · Microsoft Research

  12. Kernel Regression with Tensor Trains and Hadamard Overparameterization

    Jul 19, 2026Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1Incomplete Data ImputationKernel Regression

    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

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

    Jul 9, 2026Aitik Dandapat, Lalith Punepalle Raveendrareddy, Mithilesh Kumar Singh +1Scientific VisualizationData Visualization

    Stony Brook University

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

    Jul 8, 2026Andrea Basteri, Carlo Ciliberto, Alessandro RudiIncomplete Data ImputationKernel Density Estimation

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

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

    Jul 8, 2026Chuyao Zhang, E Li, Taochen Chen +5Incomplete Data ImputationLearning with Missing Data

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

  16. 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 ImputationIncomplete 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

  17. Benchmarking Sensor Robustness in Plasma Diagnostic Models: A Systematic Evaluation on TokaMark

    Jul 5, 2026Neerav GuptaIncomplete Data Imputation

    Independent Researcher

  18. Missing Data Imputation under Manifold Hypothesis

    Jul 3, 2026Zelong Bi, Amuchechukwu Ibenegbu, Sarat MokaIncomplete Data ImputationLearning with Missing Data

  19. Cross-Domain Feature Expansion for Tabular Medical Data via Knowledge Graphs Injection

    Jun 30, 2026Mengying Zhou, Yongjie Yin, Haoyan Xin +2Incomplete Data ImputationSynthetic Tabular Data Generation

    School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics · College of Computer Science and Artificial Intelligence, Fudan University · Independent Researcher +1

  20. Statistical Matching via Schrödinger Bridge beyond Conditional Independence

    Jun 22, 2026Eunho Koo, Tongseok Lim, Jinwon SohnIncomplete Data ImputationSchrödinger Bridges

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

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

    Jun 8, 2026Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1Incomplete Data ImputationLearning with Missing Data

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

  22. Latent Structural Categorical Matrix Completion with Application to Quasispecies Analysis

    Jun 6, 2026Qian Zhang, Meixia LinIncomplete Data ImputationMatrix Completion

    Engineering Systems and Design, Singapore University of Technology and Design, Singapore · Institute of Statistics and Big Data, Renmin University of China, P.R. China

  23. Spatiotemporal Imputation with Graph-Informed Flow Matching

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

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

    Jun 3, 2026Yuyu Chen, Taehyo Kim, Hai Shu +1Incomplete Data ImputationLearning with Missing Data

    Department of Biostatistics NYU School of Global Public Health

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

    Jun 3, 2026Lixing Zhang, Yidong Ouyang, Weifu Li +3Incomplete Data ImputationLearning with Missing Data

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

  26. Latent Diffusion for Missing Data

    May 27, 2026Alberte Heering Estad, Ignacio Peis, Jes FrellsenIncomplete Data ImputationLatent Diffusion Models

    Technical University of Denmark · Pioneer Centre for Artificial Intelligence

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

    May 25, 2026Gyuwon Sim, Sumin Lee, Heesun Bae +5Time Series ImputationIncomplete Data Imputation

    KAIST · Seoul National University

  28. Learning Causal Orderings for In-Context Tabular Prediction

    May 21, 2026Sascha Xu, Sarah Mameche, Jilles VreekenIncomplete Data ImputationCausal Structure Learning

    CISPA Helmholtz Center

  29. Can Large Language Models Revolutionize Survey Research? Experiments with Disaster Preparedness Responses

    May 19, 2026Yan Wang, Ziyi Guo, Christopher McCartyRetrieval-Augmented GenerationLLM Evaluation

    Dept. of Urban and Regional Planning & Florida Institute for Built Environment Resilience, University of Florida, P.O. Box 115706, Gainesville, FL 32611. · Dept. of Urban and Regional Planning & Florida Institute for Built Environment Resilience, University of Florida, 1480 Inner Rd., Gainesville, FL 32611. · College of Liberal Arts and Sciences, Bureau of Economic and Business Research, University of Florida, Suite 150, 720 SW 2nd Ave., Gainesville, FL 32611.

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

    May 17, 2026Keshu Wu, Sixu Li, Zihao Li +3Graph Structure LearningIncomplete Data Imputation

    Texas A&M University · University of Wisconsin-Madison