| Deep Generative Quantile-Copula Models for Probabilistic Forecasting | Jul 24, 2019 | Probabilistic Time Series Forecastingquantile regression | —Unverified | 0 |
| Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems | Jun 3, 2021 | DecoderManagement | —Unverified | 0 |
| Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting | Oct 4, 2024 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 |
| End-to-End Probabilistic Framework for Learning with Hard Constraints | Jun 8, 2025 | Probabilistic Time Series Forecastingscoring rule | —Unverified | 0 |
| Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature | Mar 8, 2025 | Probabilistic Time Series ForecastingTime Series | —Unverified | 0 |
| Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting | Oct 3, 2024 | Gaussian ProcessesProbabilistic Time Series Forecasting | —Unverified | 0 |
| Generative Probabilistic Time Series Forecasting and Applications in Grid Operations | Feb 21, 2024 | Decision MakingProbabilistic Time Series Forecasting | —Unverified | 0 |
| Hidden Markov Model: Tutorial | Dec 10, 2019 | Action RecognitionBayesian Inference | —Unverified | 0 |
| Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting | Jan 31, 2021 | Decision MakingManagement | —Unverified | 0 |
| Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes | Dec 27, 2024 | Gaussian ProcessesGPU | —Unverified | 0 |
