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cs.LG2019
From Variational to Deterministic Autoencoders
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari +2
Variational Autoencoders (VAEs) provide a theoretically-backed and popular framework for deep generative models. However, learning a VAE from data poses still unanswered theoretica…
cs.LG2018
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Partha Ghosh, Arpan Losalka, Michael J Black
Susceptibility of deep neural networks to adversarial attacks poses a major theoretical and practical challenge. All efforts to harden classifiers against such attacks have seen li…