Robust Probabilistic Time Series Forecasting

1 code implementation • 24 Feb 2022 • Taeho Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang

Probabilistic time series forecasting has played critical role in decision-making processes due to its capability to quantify uncertainties.

Decision Making Probabilistic Time Series Forecasting +1

WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points

1 code implementation • 15 Feb 2021 • Albert No, Taeho Yoon, Sehyun Kwon, Ernest K. Ryu

Generative adversarial networks (GAN) are a widely used class of deep generative models, but their minimax training dynamics are not understood very well.