{"total":29,"rows":[{"id":"2101.10318","title":"Multi-Time Attention Networks for Irregularly Sampled Time Series","created":"2021-01-25","cited_by_count":238,"area":null},{"id":"2111.11344","title":"Modeling Irregular Time Series with Continuous Recurrent Units","created":"2021-11-22","cited_by_count":103,"area":null},{"id":"2106.13898","title":"Closed-form Continuous-time Neural Models","created":"2021-06-25","cited_by_count":65,"area":null},{"id":"2402.10635","title":"ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling","created":"2024-02-16","cited_by_count":63,"area":null},{"id":"2306.09368","title":"Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series","created":"2023-06-14","cited_by_count":55,"area":null},{"id":"2112.06351","title":"Neural Point Process for Learning Spatiotemporal Event Dynamics","created":"2021-12-12","cited_by_count":42,"area":null},{"id":"2402.14989","title":"Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data","created":"2024-02-22","cited_by_count":36,"area":null},{"id":"2103.06089","title":"Variable-rate discrete representation learning","created":"2021-03-10","cited_by_count":24,"area":null},{"id":"2502.09885","title":"Comprehensive Review of Neural Differential Equations for Time Series Analysis","created":"2025-02-14","cited_by_count":20,"area":null},{"id":"2304.13017","title":"DuETT: Dual Event Time Transformer for Electronic Health Records","created":"2023-04-25","cited_by_count":17,"area":null},{"id":"2208.09795","title":"Stop&Hop: Early Classification of Irregular Time Series","created":"2022-08-21","cited_by_count":10,"area":null},{"id":"2205.13481","title":"DeepJoint: Robust Survival Modelling Under Clinical Presence Shift","created":"2022-05-26","cited_by_count":5,"area":null},{"id":"2308.03210","title":"Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series","created":"2023-08-06","cited_by_count":5,"area":null},{"id":"2410.12257","title":"Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics","created":"2024-10-16","cited_by_count":4,"area":null},{"id":"2302.01581","title":"Learning to Decouple Complex Systems","created":"2023-02-03","cited_by_count":3,"area":null},{"id":"2508.01833","title":"Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements","created":"2025-08-03","cited_by_count":3,"area":null},{"id":"2106.06621","title":"Piecewise-constant Neural ODEs","created":"2021-06-11","cited_by_count":2,"area":null},{"id":"2302.04052","title":"Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks","created":"2023-02-08","cited_by_count":2,"area":null},{"id":"2303.01841","title":"Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections","created":"2023-03-03","cited_by_count":2,"area":null},{"id":"2508.05472","title":"Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture","created":"2025-08-07","cited_by_count":2,"area":null},{"id":"2204.05192","title":"Task-Synchronized Recurrent Neural Networks","created":"2022-04-11","cited_by_count":1,"area":null},{"id":"2511.23238","title":"SDE-Attention: Latent Attention in SDE-RNNs for Irregularly Sampled Time Series with Missing Data","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2205.04892","title":"GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data","created":"2022-05-04","cited_by_count":0,"area":null},{"id":"2206.13274","title":"Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data","created":"2022-06-27","cited_by_count":0,"area":null},{"id":"2212.13714","title":"Continuous Depth Recurrent Neural Differential Equations","created":"2022-12-28","cited_by_count":0,"area":null},{"id":"2306.09147","title":"Probabilistic Learning of Multivariate Time Series with Temporal Irregularity","created":"2023-06-15","cited_by_count":0,"area":null},{"id":"2307.13503","title":"Continuous Time Evidential Distributions for Irregular Time Series","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2308.14516","title":"Prediction of Tourism Flow with Sparse Geolocation Data","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2609.16710","title":"Continuous-Time Machine Learning: A Unified Mathematical Perspective","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}