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Dive into the research topics where Michael Mathieu is active.

Publication


Featured researches published by Michael Mathieu.


international conference on learning representations | 2014

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Pierre Sermanet; David Eigen; Xiang Zhang; Michael Mathieu; Rob Fergus; Yann LeCun


neural information processing systems | 2010

Learning Convolutional Feature Hierarchies for Visual Recognition

Koray Kavukcuoglu; Pierre Sermanet; Y-Lan Boureau; Karol Gregor; Michael Mathieu; Yann Le Cun


international conference on learning representations | 2016

Deep multi-scale video prediction beyond mean square error

Michael Mathieu; Camille Couprie; Yann LeCun


international conference on artificial intelligence and statistics | 2015

The Loss Surfaces of Multilayer Networks

Anna Choromanska; Mikael Henaff; Michael Mathieu; Gérard Ben Arous; Yann LeCun


international conference on learning representations | 2014

Fast Training of Convolutional Networks through FFTs

Michael Mathieu; Mikael Henaff; Yann LeCun


arXiv: Learning | 2014

Video (language) modeling: a baseline for generative models of natural videos.

Marc'Aurelio Ranzato; Arthur Szlam; Joan Bruna; Michael Mathieu; Ronan Collobert; Sumit Chopra


arXiv: Neural and Evolutionary Computing | 2014

Learning Longer Memory in Recurrent Neural Networks.

Tomas Mikolov; Armand Joulin; Sumit Chopra; Michael Mathieu; Marc'Aurelio Ranzato


arXiv: Machine Learning | 2015

Stacked What-Where Auto-encoders.

Junbo Jake Zhao; Michael Mathieu; Ross Goroshin; Yann LeCun


neural information processing systems | 2015

Learning to linearize under uncertainty

Ross Goroshin; Michael Mathieu; Yann LeCun


neural information processing systems | 2016

Disentangling factors of variation in deep representations using adversarial training

Michael Mathieu; Junbo Jake Zhao; Pablo Sprechmann; Aditya Ramesh; Yann LeCun

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