Matthew Willetts

25 papers A* 4A 4Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Riemannian Geometry of Optimal Rebalancing in Dynamic Weight Automated Market Makers. CoRR Matthew Willetts
2023	J	`jnl`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2022	A*	`conf`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2022	A	`conf`	Certifiably Robust Variational Autoencoders. AISTATS Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth
2022	A	`conf`	Variational Autoencoders: A Harmonic Perspective. AISTATS Alexander Camuto, Matthew Willetts
2021	J	`jnl`	Certifiably Robust Variational Autoencoders. CoRR Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth
2021	J	`jnl`	I Don't Need u: Identifiable Non-Linear ICA Without Side Information. CoRR Matthew Willetts, Brooks Paige
2021	A*	`conf`	Improving VAEs' Robustness to Adversarial Attack. ICLR Matthew Willetts, Alexander Camuto, Tom Rainforth, Stephen J. Roberts, Christopher C. Holmes
2021	A	`conf`	Learning Bijective Feature Maps for Linear ICA. AISTATS Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts
2021	A*	`conf`	Multi-Facet Clustering Variational Autoencoders. NeurIPS Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes
2021	J	`jnl`	Multi-Facet Clustering Variational Autoencoders. CoRR Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes
2021	A	`conf`	Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. AISTATS Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth
2021	J	`jnl`	Variational Autoencoders: A Harmonic Perspective. CoRR Alexander Camuto, Matthew Willetts
2020	A*	`conf`	Explicit Regularisation in Gaussian Noise Injections. NeurIPS Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes
2020	J	`jnl`	Explicit Regularisation in Gaussian Noise Injections. CoRR Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes
2020	J	`jnl`	Learning Bijective Feature Maps for Linear ICA. CoRR Alexander Camuto, Matthew Willetts, Brooks Paige, Chris C. Holmes, Stephen J. Roberts
2020	J	`jnl`	Non-Determinism in TensorFlow ResNets. CoRR Miguel Morin, Matthew Willetts
2020	J	`jnl`	Relaxed-Responsibility Hierarchical Discrete VAEs. CoRR Matthew Willetts, Xenia Miscouridou, Stephen J. Roberts, Chris C. Holmes
2020	—	`conf`	Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels. IEEE BigData Matthew Willetts, Stephen J. Roberts, Chris C. Holmes
2020	J	`jnl`	Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. CoRR Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth
2019	J	`jnl`	Disentangling Improves VAEs' Robustness to Adversarial Attacks. CoRR Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes
2019	J	`jnl`	Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders. CoRR Matthew Willetts, Stephen J. Roberts, Chris C. Holmes
2019	J	`jnl`	Regularising Deep Networks with DGMs. CoRR Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes
2019	J	`jnl`	Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels. CoRR Matthew Willetts, Stephen J. Roberts, Christopher C. Holmes
2018	J	`jnl`	Semi-unsupervised Learning of Human Activity using Deep Generative Models. CoRR Matthew Willetts, Aiden R. Doherty, Stephen J. Roberts, Chris C. Holmes