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missing data imputation

57 papers

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Also known as

MDI

Co-occurring keywords

missing datum (111) generative model (2892) representation learning (6206) diffusion model (3751) variational autoencoder (1288) generative adversarial network (1944) variational inference (2069) tabular datum (226) electronic health record (266) graph neural network (3962)

Papers

Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract) AAAI 2026
Impute Missing Entries with Uncertainty AAAI 2026
Meta-GAIN for Missing Data Imputation AAAI 2026
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation AAAI 2026
Attribute-Missing Multi-view Graph Clustering CVPR 2025
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis AAAI 2025
Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025
CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting WACV 2025
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction NIPS 2024
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering NIPS 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks EMNLP 2024
Interpretable Generalized Additive Models for Datasets with Missing Values NIPS 2024
An NCDE-based Framework for Universal Representation Learning of Time Series IJCAI 2024
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective NIPS 2024
Generative Forests NIPS 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data AISTATS 2024
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation IJCAI 2024
Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach IJCAI 2024
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data NIPS 2024
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking NIPS 2024
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder AAAI 2023
Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023
One-sided Matrix Completion from Two Observations Per Row ICML 2023