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 103Speakers
Miles Cranmer
Affiliation
Princeton University
Additional Info
Categories
Notes
Lunch will be served.