inFERENCe
posts on machine learning, statistics, opinions on things I'm reading in the space
My lab
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GANs are Broken in More than One Way: The Numerics of GANs
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October 5, 2017
From Instance Noise to Gradient Regularisation
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June 1, 2017
Everything that Works Works Because it's Bayesian: Why Deep Nets Generalize?
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May 25, 2017
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Exemplar CNNs and Information Maximization
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May 11, 2017
Is Maximum Likelihood Useful for Representation Learning?
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May 4, 2017
Unsupervised Learning by Predicting Noise: an Information Maximization View
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April 21, 2017
Evolution Strategies, Variational Optimisation and Natural ES
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April 6, 2017
Evolution Strategies: Almost Embarrassingly Parallel Optimization
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March 30, 2017
Choice of Recognition Models in VAEs: a regularisation view.
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March 28, 2017
Comment on "Overcoming catastrophic forgetting in NNs": Are multiple penalties needed?
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March 16, 2017
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