Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case

Thibault Lesieur, Jérémie Messud, Issa Hammoud +3

To train a deep neural network to mimic the outcomes of processing sequences, a version of Conditional Generalized Adversarial Network (CGAN) can be used. It has been observed by o…