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Alexander Camuto
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Conference and Workshop Papers
- 2022
- [c8]Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth:
Certifiably Robust Variational Autoencoders. AISTATS 2022: 3663-3683 - [c7]Alexander Camuto, Matthew Willetts:
Variational Autoencoders: A Harmonic Perspective. AISTATS 2022: 4595-4611 - 2021
- [c6]Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth:
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. AISTATS 2021: 3565-3573 - [c5]Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts:
Learning Bijective Feature Maps for Linear ICA. AISTATS 2021: 3655-3663 - [c4]Matthew Willetts, Alexander Camuto, Tom Rainforth, Stephen J. Roberts, Christopher C. Holmes:
Improving VAEs' Robustness to Adversarial Attack. ICLR 2021 - [c3]Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris C. Holmes, Mert Gürbüzbalaban, Umut Simsekli:
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections. ICML 2021: 1249-1260 - [c2]Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu:
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. NeurIPS 2021: 18774-18788 - 2020
- [c1]Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes:
Explicit Regularisation in Gaussian Noise Injections. NeurIPS 2020
Informal and Other Publications
- 2024
- [i10]Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland:
Verifiable evaluations of machine learning models using zkSNARKs. CoRR abs/2402.02675 (2024) - 2021
- [i9]Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris C. Holmes, Mert Gürbüzbalaban, Umut Simsekli:
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections. CoRR abs/2102.07006 (2021) - [i8]Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth:
Certifiably Robust Variational Autoencoders. CoRR abs/2102.07559 (2021) - [i7]Alexander Camuto, Matthew Willetts:
Variational Autoencoders: A Harmonic Perspective. CoRR abs/2105.14866 (2021) - [i6]Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu:
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms. CoRR abs/2106.04881 (2021) - 2020
- [i5]Alexander Camuto, Matthew Willetts, Brooks Paige, Chris C. Holmes, Stephen J. Roberts:
Learning Bijective Feature Maps for Linear ICA. CoRR abs/2002.07766 (2020) - [i4]Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth:
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders. CoRR abs/2007.07365 (2020) - [i3]Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes:
Explicit Regularisation in Gaussian Noise Injections. CoRR abs/2007.07368 (2020) - 2019
- [i2]Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes:
Disentangling Improves VAEs' Robustness to Adversarial Attacks. CoRR abs/1906.00230 (2019) - [i1]Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes:
Regularising Deep Networks with DGMs. CoRR abs/1909.11507 (2019)
Coauthor Index
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