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07/20/2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
The mechanisms behind the success of multi-view self-supervised learning...
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06/28/2023
DUET: 2D Structured and Approximately Equivariant Representations
Multiview Self-Supervised Learning (MSSL) is based on learning invarianc...
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11/24/2021
Challenges of Adversarial Image Augmentations
Image augmentations applied during training are crucial for the generali...
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11/04/2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation
Graph neural networks, a popular class of models effective in a wide ran...
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06/17/2021
On Invariance Penalties for Risk Minimization
The Invariant Risk Minimization (IRM) principle was first proposed by Ar...
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04/07/2021
Adversarial Robustness Guarantees for Gaussian Processes
Gaussian processes (GPs) enable principled computation of model uncertai...
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01/07/2021
The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
It is desirable, and often a necessity, for machine learning models to b...
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05/28/2019
