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Alexander Camuto
Alexander Camuto
DPhil, University of Oxford, Alan Turing Institute
Verified email at st-hughs.ox.ac.uk
Title
Cited by
Cited by
Year
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
722020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
A Camuto, M Willetts, S Roberts, C Holmes, T Rainforth
AISTATS, 2021, 2020
382020
Improving VAEs' Robustness to Adversarial Attack
M Willetts, A Camuto, T Rainforth, S Roberts, C Holmes
International Conference on Learning Representations (ICLR), 2021, 2019
362019
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
A Camuto, G Deligiannidis, MA Erdogdu, M Gürbüzbalaban, U Şimşekli, ...
Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021
282021
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
192021
Certifiably Robust Variational Autoencoders
B Barrett, A Camuto, M Willetts, T Rainforth
Advances in Neural Information Processing Systems (NeurIPS), Bayesian Deep …, 2021
172021
Alex’Sandy’Pentland
T South, A Camuto, S Jain, S Nguyen, R Mahari, C Paquin, J Morton
Verifiable evaluations of machine learning models using zksnarks, 2024
52024
Understanding Gaussian noise injections in neural networks
A Camuto
University of Oxford, 2021
42021
Verifiable evaluations of machine learning models using zkSNARKs
T South, A Camuto, S Jain, S Nguyen, R Mahari, C Paquin, J Morton, ...
arXiv preprint arXiv:2402.02675, 2024
32024
Variational Autoencoders: A Harmonic Perspective
A Camuto, M Willetts
AISTATS, 2022, 2021
22021
Learning Bijective Feature Maps for Linear ICA
A Camuto, M Willetts, B Paige, C Holmes, S Roberts
AISTATS, 2021, 2020
22020
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Articles 1–11