About
Discord Stateoftheart AI
GitHub

Publications

19

Cited by

2849

Mikael Henaff

artificial intelligencedeep learningreinforcement learning
Microsoft

United States

Papers and Citations

1 - 50
The loss surfaces of multilayer networks
2015
Michael Mathieu
Gerard BEN AROUS
Anna Choromanska
+2
Cited by 945
Deep convolutional networks on graph-structured data
2015
Joan Bruna
Yann LeCun
Mikael Henaff
Cited by 850
Fast Training of Convolutional Networks through FFTs
2013
Michael Mathieu
Mikael Henaff
Yann LeCun
Cited by 459
Tracking the world state with recurrent entity networks
2016
Antoine Bordes
Jason Weston
Yann LeCun
+2
Cited by 185
UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION
2011
koray kavukcuoglu
Yann LeCun
Mikael Henaff
+1
Cited by 150
Recurrent Orthogonal Networks and Long-Memory Tasks
2016
Yann LeCun
Mikael Henaff
Arthur Szlam
Cited by 103
A comprehensive evaluation of multicategory classification methods for microbiomic data
2013
Varun Narendra
Mikael Henaff
Alexander Statnikov
+7
Cited by 96
Microbiomic signatures of psoriasis: feasibility and methodology comparison
2013
Martin J Blaser
Constantin F Aliferis
Guillermo I Perez-Perez
+4
Cited by 70
Model-predictive policy learning with uncertainty regularization for driving in dense traffic
2019
Alfredo Canziani
Yann LeCun
Mikael Henaff
Cited by 54
Information content and analysis methods for multi-modal high-throughput biomedical data
2014
Sisi Ma
Eric Peskin
Bisakha Ray
+6
Cited by 35
New methods for separating causes from effects in genomics data
2012
Alexander Statnikov
Mikael Henaff
NI Lytkin
+1
Cited by 34
Model-based planning with discrete and continuous actions
2018
Mikael Henaff
William Whitney
Yann LeCun
Cited by 33
Kinematic state abstraction and provably efficient rich-observation reinforcement learning
2019
John Langford
Akshay Krishnamurthy
Dipendra Misra
+1
Cited by 32
Disagreement-regularized imitation learning
2020
Wen Sun
Kianté Brantley
Mikael Henaff
Cited by 22
Model-based planning in discrete action spaces
2017
Mikael Henaff
Yann LeCun
William Whitney
Cited by 19
PC-PG: Policy cover directed exploration for provable policy gradient learning
2020
Wen Sun
Sham M Kakade
Alekh Agarwal
+1
Cited by 15
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery
2015
Alexander Statnikov
Sisi Ma
Mikael Henaff
+4
Cited by 14
Prediction under uncertainty with error-encoding networks
2017
Yann LeCun
Jun Zhao
Mikael Henaff
Cited by 13
Explicit explore-exploit algorithms in continuous state spaces
2019
Mikael Henaff
Cited by 10
Deep Networks for Forward Prediction and Planning
2018
Mikael Henaff
Cited by 1