Alexander Camuto

According to our database, Alexander Camuto authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Verifiable evaluations of machine learning models using zkSNARKs.

Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland

CoRR, 2024

2022

Variational Autoencoders: A Harmonic Perspective.

Alexander Camuto, Matthew Willetts

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Certifiably Robust Variational Autoencoders.

Ben Barrett, Alexander Camuto, Matthew Willetts, Tom Rainforth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms.

Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Simsekli, Lingjiong Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections.

Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris C. Holmes, Mert Gürbüzbalaban, Umut Simsekli

Proceedings of the 38th International Conference on Machine Learning, 2021

Improving VAEs' Robustness to Adversarial Attack.

Matthew Willetts, Alexander Camuto, Tom Rainforth, Stephen J. Roberts, Christopher C. Holmes

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards a Theoretical Understanding of the Robustness of Variational Autoencoders.

Alexander Camuto, Matthew Willetts, Stephen J. Roberts, Chris C. Holmes, Tom Rainforth

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Learning Bijective Feature Maps for Linear ICA.

Alexander Camuto, Matthew Willetts, Chris C. Holmes, Brooks Paige, Stephen J. Roberts

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Explicit Regularisation in Gaussian Noise Injections.

Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C. Holmes

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Regularising Deep Networks with DGMs.

Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes

CoRR, 2019

Disentangling Improves VAEs' Robustness to Adversarial Attacks.

Matthew Willetts, Alexander Camuto, Stephen J. Roberts, Chris C. Holmes

CoRR, 2019