| AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting | Aug 10, 2023 | AutoMLPhilosophy | CodeCode Available | 6 |
| Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | Oct 12, 2023 | DecoderProbabilistic Time Series Forecasting | CodeCode Available | 3 |
| Probabilistic Forecasting with Temporal Convolutional Neural Network | Jun 11, 2019 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 3 |
| Non-stationary Diffusion For Probabilistic Time Series Forecasting | May 7, 2025 | DenoisingProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process | Mar 9, 2024 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 2 |
| Fin-GAN: forecasting and classifying financial time series via generative adversarial networks | Jan 31, 2024 | Generative Adversarial NetworkProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting | Jul 21, 2023 | ImputationProbabilistic Time Series Forecasting | CodeCode Available | 2 |
| Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows | Apr 29, 2022 | Decision MakingLoad Forecasting | CodeCode Available | 2 |
| Probabilistic Time Series Forecasting with Implicit Quantile Networks | Jul 8, 2021 | Probabilistic Time Series ForecastingTime Series | CodeCode Available | 2 |
| Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting | Jan 28, 2021 | Multivariate Time Series ForecastingProbabilistic Time Series Forecasting | CodeCode Available | 2 |
