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Giannis Daras is an incoming Assistant Professor at MIT Sloan and a Postdoctoral Associate at MIT CSAIL, focusing on practical and theoretical questions around deep generative models. His research develops principled algorithms for training and sampling generative models in the presence of data corruption.
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