University of Cambridge > > Machine Learning Reading Group @ CUED > Energy-Based Models

Energy-Based Models

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Elre Oldewage.

While the log-likelihood of the data is analytic in many familiar machine learning models, there exist certain models, called Energy Based Models (EBMs), for which the log-likelihood is intractable. Lifting the restriction of a tractable log-likelihood opens the door to great flexibility in model architecture and design, but naturally complicates training. In this presentation, we provide an overview of both established as well as recently developed methods for training EBMs.

Reading list How to train your energy based model (

Our reading groups are livestreamed via Zoom and recorded for our Youtube channel. The Zoom details are distributed via our weekly mailing list.

This talk is part of the Machine Learning Reading Group @ CUED series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity