Author

Mikael Henaff

Observed name: Henaff, Mikael

Institutions: University of Oxford, McGill University

Observed institutions: Microsoft (United States), University of California, Los Angeles, Courant Institute of Mathematical Sciences, University of Oxford, NYU Langone Health, Meta (United States), McGill University, New York University

OpenAlex ID: A5045766292

Deep Convolutional Networks on Graph-Structured Data

2015 · Henaff, Mikael, Bruna, Joan, et al. · arXiv (Cornell University) · 1,252

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The Loss Surfaces of Multilayer Networks

2014 · Choromanska, Anna, Henaff, Mikael, et al. · arXiv (Cornell University) · 731

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Fast Training of Convolutional Networks through FFTs

2014 · Michaël Mathieu, Mikael Henaff, et al. · International Conference on Learning Representations · 343

Fast Training of Convolutional Networks through FFTs

2013 · Mathieu, Michael, Henaff, Mikael, et al. · arXiv (Cornell University) · 273

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A comprehensive evaluation of multicategory classification methods for microbiomic data

2013 · Alexander Statnikov, Mikael Henaff, et al. · Microbiome · 203

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Tracking the World State with Recurrent Entity Networks

2016 · Henaff, Mikael, Weston, Jason, et al. · arXiv (Cornell University) · 200

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Unsupervised Learning Of Sparse Features For Scalable Audio Classification.

2011 · Henaff, Mikael, Jarrett, Kevin, et al. · 114

Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison

2013 · Alexander Statnikov, Alexander V. Alekseyenko, et al. · Scientific Reports · 92

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

2019 · Henaff, Mikael, Canziani, Alfredo, et al. · arXiv (Cornell University) · 89

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Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

2025 · Jianing Yang, Alexander Sax, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 83

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The Loss Surface of Multilayer Networks.

2014 · Anna Choromanska, Mikael Henaff, et al. · arXiv (Cornell University) · 78

OpenEQA: Embodied Question Answering in the Era of Foundation Models

2024 · Arjun Majumdar, Anurag Ajay, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 76

Recurrent Orthogonal Networks and Long-Memory Tasks

2016 · Henaff, Mikael, Szlam, Arthur, et al. · arXiv (Cornell University) · 62

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Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

2019 · Misra, Dipendra, Henaff, Mikael, et al. · arXiv (Cornell University) · 49

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Disagreement-Regularized Imitation Learning

2020 · Kianté Brantley, Wen Sun, et al. · International Conference on Learning Representations · 45

New methods for separating causes from effects in genomics data

2012 · Alexander Statnikov, Mikael Henaff, et al. · BMC Genomics · 35

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