95 citations · 95 across the 2 of their papers we have counts for
2 papers
cs.LG2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
Alireza Koochali, Ensiye Tahaei, Andreas Dengel +1
This paper presents VAEneu, an innovative autoregressive method for multistep ahead univariate probabilistic time series forecasting. We employ the conditional VAE framework and op…
cs.LG2019★ 95 cited
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN
Alireza Koochali, Peter Schichtel, Sheraz Ahmed +1
Time series forecasting is one of the challenging problems for humankind. Traditional forecasting methods using mean regression models have severe shortcomings in reflecting real-w…