Folgen
Mikael Henaff
Mikael Henaff
Facebook AI Research
Bestätigte E-Mail-Adresse bei nyu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep convolutional networks on graph-structured data
M Henaff, J Bruna, Y LeCun
arXiv preprint arXiv:1506.05163, 2015
15382015
The loss surfaces of multilayer networks
A Choromanska, M Henaff, M Mathieu, GB Arous, Y LeCun
Artificial intelligence and statistics, 192-204, 2015
13282015
Fast Training of Convolutional Networks through FFTs
M Mathieu, M Henaff, Y LeCun
International Conference on Learning Representations (ICLR 2014), 2013
6642013
Tracking the World State with Recurrent Entity Networks
M Henaff, J Weston, A Szlam, A Bordes, Y LeCun
International Conference on Learning Representations (ICLR 2017), 2017
2442017
Unsupervised learning of sparse features for scalable audio classification.
M Henaff, K Jarrett, K Kavukcuoglu, Y LeCun
ISMIR 11 (445), 2011, 2011
1732011
A comprehensive evaluation of multicategory classification methods for microbiomic data
A Statnikov, M Henaff, V Narendra, K Konganti, Z Li, L Yang, Z Pei, ...
Microbiome 1 (1), 1-12, 2013
1632013
Recurrent Orthogonal Networks and Long-Memory Tasks
M Henaff, A Szlam, Y LeCun
International Conference on Machine Learning, 2034-2042, 2016
1422016
Kinematic state abstraction and provably efficient rich-observation reinforcement learning
D Misra, M Henaff, A Krishnamurthy, J Langford
International conference on machine learning, 6961-6971, 2020
1042020
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
M Henaff, A Canziani, Y LeCun
International Conference on Learning Representations (ICLR 2019), 2019
972019
Microbiomic signatures of psoriasis: feasibility and methodology comparison
A Statnikov, AV Alekseyenko, Z Li, M Henaff, GI Perez-Perez, MJ Blaser, ...
Scientific reports 3 (1), 1-7, 2013
892013
Pc-pg: Policy cover directed exploration for provable policy gradient learning
A Agarwal, M Henaff, S Kakade, W Sun
Advances in neural information processing systems 33, 13399-13412, 2020
762020
Disagreement Regularized Imitation Learning
K Brantley, W Sun, M Henaff
International Conference on Learning Representations (ICLR 2020), 2020
622020
Model-Based Planning with Discrete and Continuous Actions
M Henaff, WF Whitney, Y LeCun
arXiv preprint arXiv:1705.07177, 2018
57*2018
Information content and analysis methods for multi-modal high-throughput biomedical data
B Ray, M Henaff, S Ma, E Efstathiadis, ER Peskin, M Picone, T Poli, ...
Scientific reports 4 (1), 1-10, 2014
412014
New methods for separating causes from effects in genomics data
A Statnikov, M Henaff, NI Lytkin, CF Aliferis
BMC genomics 13 (8), 1-16, 2012
392012
Prediction under uncertainty with error-encoding networks
M Henaff, J Zhao, Y LeCun
arXiv preprint arXiv:1711.04994, 2017
212017
Explicit Explore-Exploit Algorithms in Continuous State Spaces
M Henaff
Advances in Neural Information Processing Systems, 9372-9382, 2019
202019
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery
A Statnikov, S Ma, M Henaff, N Lytkin, E Efstathiadis, ER Peskin, ...
The Journal of Machine Learning Research 16 (1), 3219-3267, 2015
162015
Imitation Learning from Pixel Observations for Continuous Control
S Cohen, B Amos, MP Deisenroth, M Henaff, E Vinitsky, D Yarats
22021
Exploration via elliptical episodic bonuses
M Henaff, R Raileanu, M Jiang, T Rocktäschel
arXiv preprint arXiv:2210.05805, 2022
12022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20