[Lisa_seminaires] Fwd: Colloque DIRO, lundi 6 février, Devon Hjelm (UdeM)

Yoshua Bengio yoshua.umontreal at gmail.com
Ven 3 Fév 11:49:57 EST 2017


ML job (faculty) talk! Mark on your calendar.

---------- Forwarded message ----------
From: Pierre McKenzie <mckenzie at iro.umontreal.ca>
Date: 2017-02-03 11:45 GMT-05:00
Subject: Colloque DIRO, lundi 6 février, Devon Hjelm (UdeM)
To: seminaires at iro.umontreal.ca



*Learning underlying structure with neuroimaging data and training
generative models with iterative refinement*

par



* Devon Hjelm *

 Université de Montréal

*Lundi 6 février, 15:30-16:30*, *Salle 6214*, Pavillon André-Aisenstadt

    Université de Montréal, 2920 Chemin de la Tour

Café avant 15:00-15:30



*Résumé:*

Generative models can be used to infer latent structure of observed data
for the purpose of advancing domain-specific goals. This is demonstrable
with functional and structural magnetic resonance imaging (fMRI / sMRI),
where inferred structure can reveal brain function and aid in diagnosis of
disease. Further advances in training and inference will increase the
applicability of machine learning as a tool for scientific analysis, and
the considerable flexibility and capacity allowed by deep learning greatly
favor these goals. While deep, continuously-differentiable functions
trained by back-propagation have been very successful, local, iterative
inference in directed graphical models and generative adversarial networks
(GANs) can aid in training, expanding beyond the model's default capacity.
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