Probabilistic Forecasting Comparison Hub

3 papers - avg viability 5.3

Reference Surfaces

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting(7.0)
EnTransformer is a deep generative forecasting framework that enhances multivariate time series predictions with uncertainty quantification.
A Distribution-to-Distribution Neural Probabilistic Forecasting Framework for Dynamical Systems(5.0)
A neural framework that directly forecasts probability distributions for dynamical systems, offering improved uncertainty quantification.

A novel probabilistic forecasting method using stochastic feed-forward neural networks for spatio-temporal datasets.