Giancarlo Fissore

Relative gradient optimization of the Jacobian term in unsupervised deep learning

Learning expressive probabilistic models correctly describing the data is a ubiquitous problem in machine learning. A popular approach for solving it is mapping the observations into a representation space with a simple joint distribution, which can typically be written as a product of its marginals…