1.3k citations · 4.9k across the 14 of their papers we have counts for
4 papers · 1 filter
Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, Yann LeCun
Learning to predict future images from a video sequence involves the construction of an internal representation that models the image evolution accurately, and therefore, to some d…
Learning to Linearize Under Uncertainty
Ross Goroshin, Michael Mathieu, Yann LeCun
Training deep feature hierarchies to solve supervised learning tasks has achieved state of the art performance on many problems in computer vision. However, a principled way in whi…
Stacked What-Where Auto-encoders
Junbo Zhao, Michael Mathieu, Ross Goroshin +1
We present a novel architecture, the "stacked what-where auto-encoders" (SWWAE), which integrates discriminative and generative pathways and provides a unified approach to supervis…
The Loss Surfaces of Multilayer Networks
Anna Choromanska, Mikael Henaff, Michael Mathieu +2
We study the connection between the highly non-convex loss function of a simple model of the fully-connected feed-forward neural network and the Hamiltonian of the spherical spin-g…