| Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain | Oct 8, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting | Dec 15, 2022 | DecoderSaliency Detection | CodeCode Available | 1 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks | May 9, 2025 | Irregular Time SeriesMissing Values | CodeCode Available | 1 |
| A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling | Dec 16, 2021 | Multivariate Time Series ForecastingPrediction Intervals | CodeCode Available | 1 |
| pyWATTS: Python Workflow Automation Tool for Time Series | Jun 18, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | Jun 18, 2020 | Causal DiscoveryTime Series | CodeCode Available | 1 |
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Feb 15, 2021 | ImputationTime Series | 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 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
