| On Neural Differential Equations | Feb 4, 2022 | Irregular Time SeriesSymbolic Regression | CodeCode Available | 5 |
| Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data | Feb 22, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 2 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 |
| Synthcity: facilitating innovative use cases of synthetic data in different data modalities | Jan 18, 2023 | FairnessIrregular Time Series | CodeCode Available | 2 |
| PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks | May 9, 2025 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| Can Multimodal LLMs Perform Time Series Anomaly Detection? | Feb 25, 2025 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis | Jan 10, 2024 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks | Oct 23, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs | Oct 4, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Precursor-of-Anomaly Detection for Irregular Time Series | Jun 27, 2023 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 |
| PrimeNet: Pre-Training for Irregular Multivariate Time Series | Jun 26, 2023 | Contrastive LearningIrregular Time Series | CodeCode Available | 1 |
| Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series | Jun 14, 2023 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 |
| Non-adversarial training of Neural SDEs with signature kernel scores | May 25, 2023 | Irregular Time SeriesTime Series Generation | CodeCode Available | 1 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 |
| Stop&Hop: Early Classification of Irregular Time Series | Aug 21, 2022 | Early ClassificationGeneral Classification | CodeCode Available | 1 |
| Path Development Network with Finite-dimensional Lie Group Representation | Apr 2, 2022 | Dimensionality ReductionIrregular Time Series | CodeCode Available | 1 |
| Modeling Irregular Time Series with Continuous Recurrent Units | Nov 22, 2021 | DecoderIrregular Time Series | CodeCode Available | 1 |
| Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting | Sep 4, 2021 | Irregular Time SeriesRepresentation Learning | CodeCode Available | 1 |
| Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series | Jul 23, 2021 | Deep LearningIrregular Time Series | CodeCode Available | 1 |
| Neural Controlled Differential Equations for Online Prediction Tasks | Jun 21, 2021 | Irregular Time SeriesPrediction | CodeCode Available | 1 |
| Neural Rough Differential Equations for Long Time Series | Sep 17, 2020 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
