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Emanuele Sansone

University of Trento

generalization

deep generative models

autoencoders

maximum-mean discrepancy

1

presentations

SHORT BIO

"He is a researcher with background in machine learning. Previously, he was working on statistical machine learning, focusing on understanding how to exploit unlabeled data in the context of semi-supervised, positive unlabeled and unsupervised learning. His current research interests are at the intersection between machine learning and logic.

He has worked as a research scientist at Huawei in London conducting fundamental research in machine learning and artificial intelligence. In 2018, he received his PhD from the University of Trento and visited Nanjing University. During that period, he worked on positive-unlabeled learning with Prof. Zhi-Hua Zhou."

Presentations

Coulomb Autoencoders

Emanuele Sansone

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