Alexander Camuto
Alexander Camuto
DPhil Candidate, University of Oxford, Alan Turing Institute
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Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
A Camuto, M Willetts, S Roberts, C Holmes, T Rainforth
AISTATS, 2021, 2020
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
Improving VAEs' Robustness to Adversarial Attack
M Willetts, A Camuto, T Rainforth, S Roberts, C Holmes
International Conference on Learning Representations (ICLR), 2021, 2019
Learning Bijective Feature Maps for Linear ICA
A Camuto, M Willetts, B Paige, C Holmes, S Roberts
AISTATS, 2021, 2020
Certifiably Robust Variational Autoencoders
B Barrett, A Camuto, M Willetts, T Rainforth
arXiv preprint arXiv:2102.07559, 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
A Camuto, G Deligiannidis, MA Erdogdu, M Gürbüzbalaban, U Şimşekli, ...
arXiv preprint arXiv:2106.04881, 2021
Variational Autoencoders: A Harmonic Perspective
A Camuto, M Willetts
arXiv preprint arXiv:2105.14866, 2021
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
A Camuto, X Wang, L Zhu, C Holmes, M Gürbüzbalaban, U Şimşekli
International Conference on Machine Learning (ICML), 2021, 2021
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