Stebėti
Alexander Camuto
Alexander Camuto
DPhil, University of Oxford, Alan Turing Institute
Patvirtintas el. paštas st-hughs.ox.ac.uk
Pavadinimas
Cituota
Cituota
Metai
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
592020
Improving VAEs' Robustness to Adversarial Attack
M Willetts, A Camuto, T Rainforth, S Roberts, C Holmes
International Conference on Learning Representations (ICLR), 2021, 2019
312019
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
A Camuto, M Willetts, S Roberts, C Holmes, T Rainforth
AISTATS, 2021, 2020
292020
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
202021
Certifiably Robust Variational Autoencoders
B Barrett, A Camuto, M Willetts, T Rainforth
Advances in Neural Information Processing Systems (NeurIPS), Bayesian Deep …, 2021
162021
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
162021
Understanding Gaussian noise injections in neural networks
A Camuto
University of Oxford, 2021
22021
Learning Bijective Feature Maps for Linear ICA
A Camuto, M Willetts, B Paige, C Holmes, S Roberts
AISTATS, 2021, 2020
22020
Variational Autoencoders: A Harmonic Perspective
A Camuto, M Willetts
AISTATS, 2022, 2021
12021
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
2024
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Straipsniai 1–10