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06/09/2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Understanding generalization in deep learning has been one of the major ...
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05/31/2021
Variational Autoencoders: A Harmonic Perspective
In this work we study Variational Autoencoders (VAEs) from the perspecti...
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02/15/2021
Certifiably Robust Variational Autoencoders
We introduce an approach for training Variational Autoencoders (VAEs) th...
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02/13/2021
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
Gaussian noise injections (GNIs) are a family of simple and widely-used ...
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07/14/2020
Explicit Regularisation in Gaussian Noise Injections
We study the regularisation induced in neural networks by Gaussian noise...
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07/14/2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
We make inroads into understanding the robustness of Variational Autoenc...
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02/18/2020
Learning Bijective Feature Maps for Linear ICA
Separating high-dimensional data like images into independent latent fac...
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09/25/2019
Regularising Deep Networks with DGMs
Here we develop a new method for regularising neural networks where we l...
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06/01/2019