Semi-unsupervised Learning of Human Activity using Deep Generative Models. - Matthew Willetts; Aiden R. Doherty; Stephen J. Roberts; Chris C. Holmes (CoRR, 2018)

Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels. - Matthew Willetts; Stephen J. Roberts; Christopher C. Holmes (CoRR, 2019)

Disentangling Improves VAEs' Robustness to Adversarial Attacks. - Matthew Willetts; Alexander Camuto; Stephen J. Roberts; Chris C. Holmes (CoRR, 2019)

Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. - Matthew Willetts; Stephen J. Roberts; Chris C. Holmes (CoRR, 2019)

Regularising Deep Networks with DGMs. - Matthew Willetts; Alexander Camuto; Stephen J. Roberts; Chris C. Holmes (CoRR, 2019)

Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels. - Matthew Willetts; Stephen J. Roberts; Chris C. Holmes (IEEE BigData, 2020)

Explicit Regularisation in Gaussian Noise Injections. - Alexander Camuto; Matthew Willetts; Umut Simsekli; Stephen J. Roberts; Chris C. Holmes (NeurIPS, 2020)

Non-Determinism in TensorFlow ResNets. - Miguel Morin; Matthew Willetts (CoRR, 2020)

Relaxed-Responsibility Hierarchical Discrete VAEs. - Matthew Willetts; Xenia Miscouridou; Stephen J. Roberts; Chris C. Holmes (CoRR, 2020)

Learning Bijective Feature Maps for Linear ICA. - Alexander Camuto; Matthew Willetts; Chris C. Holmes; Brooks Paige; Stephen J. Roberts (AISTATS, 2021)

Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. - Alexander Camuto; Matthew Willetts; Stephen J. Roberts; Chris C. Holmes; Tom Rainforth (AISTATS, 2021)

Improving VAEs' Robustness to Adversarial Attack. - Matthew Willetts; Alexander Camuto; Tom Rainforth; Stephen J. Roberts; Christopher C. Holmes (ICLR, 2021)

Multi-Facet Clustering Variational Autoencoders. - Fabian Falck; Haoting Zhang; Matthew Willetts; George Nicholson; Christopher Yau; Chris C. Holmes (NeurIPS, 2021)

I Don't Need u: Identifiable Non-Linear ICA Without Side Information. - Matthew Willetts; Brooks Paige (CoRR, 2021)

Certifiably Robust Variational Autoencoders. - Ben Barrett; Alexander Camuto; Matthew Willetts; Tom Rainforth (AISTATS, 2022)

Variational Autoencoders: A Harmonic Perspective. - Alexander Camuto; Matthew Willetts (AISTATS, 2022)

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. - Fabian Falck; Christopher Williams; Dominic Danks; George Deligiannidis; Christopher Yau; Chris C. Holmes; Arnaud Doucet; Matthew Willetts (NeurIPS, 2022)