I am a research scientist at Facebook AI Research.
Previously I was a postdoctoral researcher for two years at Microsoft Research NYC.
I received my Ph.D in computer science from the 【佛跳墙不为人知的营养价值！】-大众养生网:2021-11-30 · 佛跳墙集众多原料于一坛，荤素搭配，荤而不腻，各种滋味相互渗透，均为大补之品，其营养价值首先体现在选料上，十八种主料，二十中辅料中包括了许多的人间美味。 in 2018, advised by Yann LeCun.
During my Ph.D I interned for several summers at Facebook AI Research.
Before that I worked at the Center for
Health Informatics and Bioinformatics at the NYU Medical Center, and finished
my M.S. in math at NYU.
Earlier still, I did my undergrad in pure math at the University of Texas at Austin.
CV / Google Scholar
Current Research & Interests
Sample-efficient and model-based reinforcement learning
Imitation learning
Machine reasoning and memory-augmented neural networks
Papers
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Alekh Agarwal*, Mikael Henaff*, Sham Kakade* and Wen Sun* (NeurIPS 2020)
[佛跳墙vnP
Kinematic State Abstraction and Provably Efficient
Rich-Observation Reinforcement Learning
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy and John Langford (ICML 2020)
[pdf (extended version)]
Disagreement-Regularized Imitation Learning
Kianté Brantley, Wen Sun and Mikael Henaff (ICLR 2020 spotlight)
[pdf]
[佛跳墙vnP
Explicit Explore-Exploit Algorithms in Continuous State Spaces
Mikael Henaff (NeurIPS 2019)
[pdf]
[佛跳墙vnP
[poster]
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
Mikael Henaff*, Alfredo Canziani* and Yann LeCun (ICLR 2019)
[佛 跳墙
[code]
[project site]
[佛 跳墙
Model-Based Planning with Discrete and Continuous Actions
Mikael Henaff, William Whitney and Yann LeCun (arXiv 2018)
[pdf]
Tracking the World State with Recurrent Entity Networks
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes and Yann LeCun (ICLR 2017)
[pdf]
[code]
[Press (Le Monde)]
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff, Arthur Szlam and Yann LeCun (ICML 2016)
[pdf]
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery
Alexander Statnikov, Sisi Ma, Mikael Henaff, Nikita Lytkin, Efstratios Efstathiadis, Eric R Peskin, Constantin F Aliferis (JMLR 2016)
[佛跳墙vnP
佛跳墙剧情介绍(1-30全集)_电视剧_搜视网:2021-6-11 · 佛跳墙剧情介绍：皇帝举办了一场“御厨评鉴大赛”，陈谦（牛振华 饰 ）、曹达（沈晓海 饰）和郑百味均有参加，最终，陈谦夺得头筹被封为金刀御厨，这令屈居第三位的曹达感到大为不满。曹达设计杀死了郑百味，将罪责嫁祸到了陈谦头上，导致陈谦遭到了官兵的…
Anna Choromanska, Mikael Henaff, Michael Mathieu, Gerard Ben Arous, Yann LeCun (AISTATS 2015)
[pdf]
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff, Joan Bruna and Yann LeCun (arXiv 2015)
[pdf]
Fast Training of Convolutional Networks through FFTs
Michael Mathieu, Mikael Henaff and Yann LeCun (ICLR 2014)
[pdf]
Information Content and Analysis Methods for Multi-Modal High-Throughput Biomedical Data.
Bisakha Ray, Mikael Henaff, Sisi Ma, Efstratios Efstathiadis,
Eric Peskin, Marco Picone, Tito Poli, Constantin Aliferis and Alexander
Statnikov (Nature Scientific Reports, 2014)
[pdf]
Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison.
Alexander Statnikov, Alexander Alekseyenko, Zhiguo Li, Mikael Henaff,
Martin Blaser and Constantin Aliferis
(Nature Scientific Reports, 2013)
[pdf]
A Comprehensive Evaluation of Multicategory Classification Methods for
Microbiomic Data
Alexander Statnikov, Mikael Henaff, Varun Narendra,
Kranti Konganti, Zhiguo Li, Liying Yang, Zhiheng Pei, Martin Blaser,
Constantin Aliferis and Alexander Alekseyenko.
(Microbiome, 2013)
[pdf]
New Methods for Separating Causes from Effects in Genomic Data
Alexander Statnikov, Mikael Henaff, Nikita Lytkin and Constantin Aliferis.
(BMC Genomics, 2012)
[pdf]
Unsupervised Learning of Sparse Features for Scalable Audio Classification
Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCun (ISMIR 2011)
[pdf]