[Lisa_seminaires] [Extra Tea-Talk] Martin Arjovsky, March 7, 14:30, AA6214

Dzmitry Bahdanau dimabgv at gmail.com
Dim 5 Mar 21:58:50 EST 2017


Hi all,

This Tuesday (March 7) we will have an extra tea-talk by *Martin Arjovsky*.
Please note that the time is different (14:30), but the place is the same
(AA6214). Hope to see many of you there!

*Title: *On Different Distances Between Distributions and Generative
Adversarial Networks

*Abstract: *Generative adversarial networks (GANs) are notoriously
difficult to train. At the core of it, we show that these problems arise
naturally when trying to learn distributions whose support lie in low
dimensional manifolds. We show how these problems are consequences of
trying to optimize the classical divergences (KL, JSD, etc) between our
real and data distribution, and that these are symptoms of a more general
phenomenon, pointing towards the inefficacy of the usual divergences in
certain settings. After that, we bring into play the Wasserstein distance,
which we prove doesn't suffer from the same behaviour, and provide a first
step on an algorithm that tries to approximately optimize this distance.

Dima
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