Everything that Works Works Because it's Bayesian: Why Deep Nets Generalize? · May 25th, 2017

Exemplar CNNs and Information Maximization · May 11th, 2017

Is Maximum Likelihood Useful for Representation Learning? · May 4th, 2017

Unsupervised Learning by Predicting Noise: an Information Maximization View · April 21st, 2017

Evolution Strategies, Variational Optimisation and Natural ES · April 6th, 2017

Evolution Strategies: Almost Embarrassingly Parallel Optimization · March 30th, 2017

Choice of Recognition Models in VAEs: a regularisation view. · March 28th, 2017

Comment on "Overcoming catastrophic forgetting in NNs": Are multiple penalties needed? · March 16th, 2017

The Spherical Kernel Divergence · March 9th, 2017

Variational Inference using Implicit Models · February 28th, 2017