{"total":23,"rows":[{"id":"2208.09399","title":"Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models","created":"2022-08-19","cited_by_count":198,"area":null},{"id":"2202.08516","title":"SAITS: Self-Attention-based Imputation for Time Series","created":"2022-02-17","cited_by_count":169,"area":null},{"id":"2205.13479","title":"Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations","created":"2022-05-26","cited_by_count":64,"area":null},{"id":"2402.04059","title":"Deep Learning for Multivariate Time Series Imputation: A Survey","created":"2024-02-06","cited_by_count":57,"area":null},{"id":"2312.01728","title":"ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation","created":"2023-12-04","cited_by_count":50,"area":null},{"id":"2405.11333","title":"GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing","created":"2024-05-18","cited_by_count":20,"area":null},{"id":"2403.11960","title":"Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation","created":"2024-03-18","cited_by_count":11,"area":null},{"id":"2308.06382","title":"Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion","created":"2023-08-11","cited_by_count":9,"area":null},{"id":"2411.00174","title":"Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking","created":"2024-10-31","cited_by_count":8,"area":null},{"id":"2311.11959","title":"Correlated Attention in Transformers for Multivariate Time Series","created":"2023-11-20","cited_by_count":6,"area":null},{"id":"2312.16581","title":"Continuous-time Autoencoders for Regular and Irregular Time Series Imputation","created":"2023-12-27","cited_by_count":6,"area":null},{"id":"2303.12135","title":"Understand Legal Documents with Contextualized Large Language Models","created":"2023-03-21","cited_by_count":5,"area":null},{"id":"2407.08442","title":"How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2401.16796","title":"Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2201.07322","title":"Transparent Single-Cell Set Classification with Kernel Mean Embeddings","created":"2022-01-18","cited_by_count":3,"area":null},{"id":"2408.10878","title":"Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble","created":"2024-08-20","cited_by_count":3,"area":null},{"id":"2505.10856","title":"ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data","created":"2025-05-16","cited_by_count":3,"area":null},{"id":"2306.00778","title":"An End-to-End Time Series Model for Simultaneous Imputation and Forecast","created":"2023-06-01","cited_by_count":2,"area":null},{"id":"2410.03892","title":"Towards Cost Sensitive Decision Making","created":"2024-10-04","cited_by_count":2,"area":null},{"id":"2509.17809","title":"MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification","created":"2025-09-22","cited_by_count":2,"area":null},{"id":"2209.11766","title":"Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics","created":"2022-09-22","cited_by_count":0,"area":null},{"id":"2412.00994","title":"PIAD-SRNN: Physics-Informed Adaptive Decomposition in State-Space RNN","created":"2024-12-01","cited_by_count":0,"area":null},{"id":"2508.19011","title":"STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems","created":"2025-08-26","cited_by_count":0,"area":null}],"next_cursor":null}