Blue Sky Idea
in
Workshop: New Frontiers in Adversarial Machine Learning
Adversarial Training Improve Joint Energy-Based Generative Modelling
Rostislav Korst · Arip Asadulaev
Abstract:
We propose the novel framework for generative modeling using hybrid energy-based models. In our method we combine the interpretable input gradients of the robust classifier and Langevin Dynamics for sampling. Using the adversarial training we improves not only the training stability, but robustness and generative modelling of the joint energy-based models.
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