Matthew Willetts | DeepAI

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∙ 01/19/2023

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

U-Net architectures are ubiquitous in state-of-the-art deep learning, ho...

10 Fabian Falck, et al. ∙

∙ 06/09/2021

Multi-Facet Clustering Variational Autoencoders

Work in deep clustering focuses on finding a single partition of data. H...

20 Fabian Falck, et al. ∙

∙ 06/09/2021

I Don't Need 𝐮: Identifiable Non-Linear ICA Without Side Information

In this work we introduce a new approach for identifiable non-linear ICA...

0 Matthew Willetts, et al. ∙

∙ 05/31/2021

Variational Autoencoders: A Harmonic Perspective

In this work we study Variational Autoencoders (VAEs) from the perspecti...

0 Alexander Camuto, et al. ∙

∙ 02/15/2021

Certifiably Robust Variational Autoencoders

We introduce an approach for training Variational Autoencoders (VAEs) th...

0 Ben Barrett, et al. ∙

∙ 07/14/2020

Explicit Regularisation in Gaussian Noise Injections

We study the regularisation induced in neural networks by Gaussian noise...

0 Alexander Camuto, et al. ∙

∙ 07/14/2020

Towards a Theoretical Understanding of the Robustness of Variational Autoencoders

We make inroads into understanding the robustness of Variational Autoenc...

16 Alexander Camuto, et al. ∙

∙ 07/14/2020

Relaxed-Responsibility Hierarchical Discrete VAEs

Successfully training Variational Autoencoders (VAEs) with a hierarchy o...

0 Matthew Willetts, et al. ∙

∙ 02/18/2020

Learning Bijective Feature Maps for Linear ICA

Separating high-dimensional data like images into independent latent fac...

19 Alexander Camuto, et al. ∙

∙ 01/30/2020

Non-Determinism in TensorFlow ResNets

We show that the stochasticity in training ResNets for image classificat...

0 Miguel Morin, et al. ∙

∙ 09/25/2019

Regularising Deep Networks with DGMs

Here we develop a new method for regularising neural networks where we l...

10 Matthew Willetts, et al. ∙

∙ 09/25/2019

Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders

In clustering we normally output one cluster variable for each datapoint...

4 Matthew Willetts, et al. ∙

∙ 06/01/2019

Disentangling Improves VAEs' Robustness to Adversarial Attacks

This paper is concerned with the robustness of VAEs to adversarial attac...

0 Matthew Willetts, et al. ∙

∙ 01/24/2019

Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels

We introduce semi-unsupervised learning, an extreme case of semi-supervi...

0 Matthew Willetts, et al. ∙

∙ 10/29/2018

Semi-unsupervised Learning of Human Activity using Deep Generative Models

Here we demonstrate a new deep generative model for classification. We i...

0 Matthew Willetts, et al. ∙

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