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List of works by Roger B. Grosse

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

scholarly article published 2009

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse ⬇️

Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks ⬇️

Isolating Sources of Disentanglement in Variational Autoencoders ⬇️

Measuring the reliability of MCMC inference with bidirectional Monte Carlo ⬇️

scientific article published in January 2016

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks ⬇️

scientific article published in January 2019

Reversible Recurrent Neural Networks ⬇️

scholarly article by Matthew MacKay et al published 2018 in Advances in Neural Information Processing Systems 31

Second-order Optimization for Deep Reinforcement Learning using Kronecker-factored Approximation ⬇️

scientific article published in January 2017

Sorting out Lipschitz function approximation ⬇️

Statistical Inference, Learning and Models in Big Data

The Reversible Residual Network: Backpropagation Without Storing Activations ⬇️

scientific article published in January 2017

Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model ⬇️

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