Henaff, Mikael

Deep Convolutional Networks on Graph-Structured Data

Henaff, M., Bruna, J., & LeCun, Y. (2015) · arXiv

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 1,255

The Loss Surfaces of Multilayer Networks

Choromanska, A., Henaff, M., Mathieu, M., Arous, G. B., & LeCun, Y. (2014) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 733

Fast Training of Convolutional Networks through FFTs

Mathieu, M., Henaff, M., & LeCun, Y. (2013) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 273

OpenEQA: Embodied Question Answering in the Era of Foundation Models

Majumdar, A., Ajay, A., Zhang, X., Putta, P., Yenamandra, S., Henaff, M., Silwal, S., Mcvay, P., Maksymets, O., Arnaud, S., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 101

Exploration via Elliptical Episodic Bonuses

Henaff, M., Raileanu, R., Jiang, M., & Rocktäschel, T. (2022) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 22

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

Henaff, M., Jiang, M., & Raileanu, R. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1