Machine Learning for the Sciences

Hamiltonian Neural Networks

This interdisciplinary meeting focusses on ML approaches that are useful for the sciences and engineering. The style is informal, a mix of journal club, practical tutorials, and project discussion from the participants. Join us if you want to learn new ML approaches for scientific research and, in particular, if you're already using them. The material we discuss is collected on the meeting repository. If you want to suggest papers to discuss, open an issue in the repo. The group will meet every other week.

Date & Time

November 01, 2019 | 12:00pm – 1:00pm

Location

Center for Statistics and Machine Learning (CSML), 26 Prospect Ave, Auditorium 103

Speakers

Miles Cranmer

Affiliation

Princeton University

Notes

Lunch will be served.