Roger Grosse

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Honglak Lee, Roger Grosse, Rajesh Ranganath et al. · 2009 · 2.4K citations

Convolutional Neural Network, Engineering, Machine Learning +20

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Yuhuai Wu, Elman Mansimov, S. Matthew Liao et al. · arXiv (Cornell University) · 2017 · 470 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Ground truth dataset and baseline evaluations for intrinsic image algorithms

Roger Grosse, Micah K. Johnson, Edward H. Adelson et al. · 2009 · 444 citations

Unsupervised learning of hierarchical representations with convolutional deep belief networks

Honglak Lee, Roger Grosse, Rajesh Ranganath et al. · Communications of the ACM · 2011 · 386 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +18

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

James Martens, Roger Grosse · arXiv (Cornell University) · 2015 · 289 citations · Full text

Model Optimization, Engineering, Machine Learning +13