2 papers
cs.LG2021
On some theoretical limitations of Generative Adversarial Networks
Benoît Oriol, Alexandre Miot
Generative Adversarial Networks have become a core technique in Machine Learning to generate unknown distributions from data samples. They have been used in a wide range of context…
q-fin.TR2020
Adversarial trading
Alexandre Miot
Adversarial samples have drawn a lot of attention from the Machine Learning community in the past few years. An adverse sample is an artificial data point coming from an impercepti…