Matthew Willetts
Matthew Willetts
Research Fellow, UCL
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
M Willetts, S Hollowell, L Aslett, C Holmes, A Doherty
Scientific reports 8 (1), 1-10, 2018
802018
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
A Camuto, M Willetts, S Roberts, C Holmes, T Rainforth
AISTATS 2021, 2020
72020
Improving VAEs’ Robustness to Adversarial Attack
M Willetts, A Camuto, T Rainforth, S Roberts, C Holmes
International Conference on Learning Representations (ICLR) 2021, 2021
6*2021
Explicit Regularisation in Gaussian Noise Injections
A Camuto, M Willetts, U Şimşekli, S Roberts, C Holmes
Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
62020
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
M Willetts, SJ Roberts, CC Holmes
IEEE International Conference on Big Data 2020 -- Machine Learning on Big Data, 2020
3*2020
Learning Bijective Feature Maps for Linear ICA
A Camuto, M Willetts, B Paige, C Holmes, S Roberts
AISTATS 2021, 2020
22020
Non-determinism in tensorflow resnets
M Morin, M Willetts
arXiv preprint arXiv:2001.11396, 2020
22020
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders
M Willetts, S Roberts, C Holmes
NeurIPS 2019 Workshop on Bayesian Deep Learning, 2019
22019
Semi-unsupervised Learning of Human Activity using Deep Generative Models
M Willetts, A Doherty, S Roberts, C Holmes
NeurIPS 2018 ML4Health Workshop, 2018
22018
Multi-Facet Clustering Variational Autoencoders
F Falck, H Zhang, M Willetts, G Nicholson, C Yau, CC Holmes
arXiv preprint arXiv:2106.05241, 2021
12021
Certifiably Robust Variational Autoencoders
B Barrett, A Camuto, M Willetts, T Rainforth
arXiv preprint arXiv:2102.07559, 2021
12021
Relaxed-Responsibility Hierarchical Discrete VAEs
M Willetts, X Miscouridou, S Roberts, C Holmes
arXiv preprint arXiv:2007.07307, 2020
12020
I Don't Need : Identifiable Non-Linear ICA Without Side Information
M Willetts, B Paige
arXiv preprint arXiv:2106.05238, 2021
2021
Variational Autoencoders: A Harmonic Perspective
A Camuto, M Willetts
arXiv preprint arXiv:2105.14866, 2021
2021
Semi-unsupervised Learning using Deep Generative Models
M Willetts, A Doherty, S Roberts, C Holmes
NeurIPS 2018 Workshop on Bayesian Deep Learning, 2018
2018
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Articles 1–15