Roger Grosse

Publications by Year

Research Areas

Neural Networks and Applications, Stochastic Gradient Optimization Techniques, Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Gaussian Processes and Bayesian Inference

Most-Cited Works

• → Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations(2009)2,439 cited
• → Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation(2017)470 cited
• → Ground truth dataset and baseline evaluations for intrinsic image algorithms(2009)445 cited
• → Unsupervised learning of hierarchical representations with convolutional deep belief networks(2011)386 cited
• → Optimizing Neural Networks with Kronecker-factored Approximate Curvature(2015)290 cited
• → Structure Discovery in Nonparametric Regression through Compositional Kernel Search(2013)274 cited
• The Reversible Residual Network: Backpropagation Without Storing Activations(2017)