Mikael Henaff

发表

Model-Based Planning with Discrete and Continuous Actions

Yann LeCun, Mikael Henaff, William F. Whitney, 2017 .

The Loss Surfaces of Multilayer Networks

Yann LeCun, Anna Choromanska, Mikael Henaff, 2014, AISTATS.

Fast Training of Convolutional Networks through FFTs pdf

Yann LeCun, Mikael Henaff, Michaël Mathieu, 2013, ICLR.

The Loss Surface of Multilayer Networks pdf

Yann LeCun, Anna Choromanska, Mikael Henaff, 2014, ArXiv.

Orthogonal RNNs and Long-Memory Tasks pdf

Yann LeCun, Arthur Szlam, Mikael Henaff, 2016, ArXiv.

Unsupervised Learning of Sparse Features for Scalable Audio Classification

Yann LeCun, Koray Kavukcuoglu, Mikael Henaff, 2011, ISMIR.

Information content and analysis methods for Multi-Modal High-Throughput Biomedical Data

Mikael Henaff, A. Statnikov, C. Aliferis, 2014, Scientific Reports.

Deep Convolutional Networks on Graph-Structured Data pdf

Joan Bruna, Yann LeCun, Mikael Henaff, 2015, ArXiv.

Recurrent Orthogonal Networks and Long-Memory Tasks

Yann LeCun, Arthur Szlam, Mikael Henaff, 2016, ICML.

New methods for separating causes from effects in genomics data

Mikael Henaff, N. Lytkin, A. Statnikov, 2012, BMC Genomics.

Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic pdf

Yann LeCun, Mikael Henaff, Alfredo Canziani, 2019, ICLR.

+ YY ’ Z X-Residual Prediction Error TargetPredictionObservation Latent 0 State φ f 1 f 2

Yann LeCun, Mikael Henaff, J. Zhao, 2017 .

Microbiomic Signatures of Psoriasis: Feasibility and Methodology

Mikael Henaff, A. Alekseyenko, Zhiguo Li, 2013 .

Fast training of convolutional networks through FFTS: International Conference on Learning Representations (ICLR2014), CBLS, April 2014

Yann LeCun, Mikael Henaff, Michael Mathieu, 2014, ICLR 2014.

Exploration via Elliptical Episodic Bonuses

Mikael Henaff, Tim Rocktäschel, Roberta Raileanu, 2022, ArXiv.

A comprehensive evaluation of multicategory classification methods for microbiomic data

Alexander Statnikov, Mikael Henaff, Martin J Blaser, 2013, Microbiome.

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Mikael Henaff, Brandon Amos, Qinqing Zheng, 2022, 2210.06518.

New methods for separating causes from effects in genomics data

Mikael Henaff, N. Lytkin, A. Statnikov, 2012, BMC Genomics.

Disagreement-Regularized Imitation Learning

Mikael Henaff, Wen Sun, Kianté Brantley, 2020, ICLR.

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

Akshay Krishnamurthy, Dipendra Misra, Mikael Henaff, 2019, ICML.

Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

Constantin F. Aliferis, Alexander Statnikov, Mikael Henaff, 2013, Scientific Reports.

Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery

Constantin F. Aliferis, Sisi Ma, Mikael Henaff, 2015, J. Mach. Learn. Res..

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Mikael Henaff, Brandon Amos, Qinqing Zheng, 2022, ArXiv.

Exploration via Elliptical Episodic Bonuses

Mikael Henaff, Tim Rocktäschel, Roberta Raileanu, 2022, NeurIPS.

PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning pdf

Wen Sun, Alekh Agarwal, Mikael Henaff, 2020, NeurIPS.

Explicit Explore-Exploit Algorithms in Continuous State Spaces

Mikael Henaff, Mikael Henaff, 2019, NeurIPS.

Prediction Under Uncertainty with Error-Encoding Networks pdf

Yann LeCun, Mikael Henaff, Junbo Jake Zhao, 2017, ArXiv.

Tracking the World State with Recurrent Entity Networks pdf

Jason Weston, Yann LeCun, Antoine Bordes, 2016, ICLR.

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Mikael Henaff, Brandon Amos, Qinqing Zheng, 2022, ICML.

A comprehensive evaluation of multicategory classification methods for microbiomic data

Mikael Henaff, M. Blaser, A. Statnikov, 2013 .

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs

Mikael Henaff, Roberta Raileanu, Minqi Jiang, 2023, ICML.