Machine Learning for Physics and the Physics of Learning
Activities
The program consists of opening day, tutorials, a series of workshops, and a culminating workshop at UCLA’s Lake Arrowhead Conference Center. Most participants, including several distinguished senior scientists, will be in residence at IPAM continuously for the entire period. Between the workshops there will be a program of activities, such as seminars and discussion groups, involving long-term and short-term participants as well as visitors.
- Opening Day : September 4, 2019
- Machine Learning for Physics and the Physics of Learning Tutorials : September 5-10, 2019
- Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics : September 23-27, 2019
- Workshop II: Interpretable Learning in Physical Sciences : October 14-18, 2019
- Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature : October 28 - November 1, 2019
- Workshop IV: Using Physical Insights for Machine Learning : November 18-22, 2019
- Machine Learning for Physics Culminating Workshop at Lake Arrowhead : December 3-8, 2019
Organizing Committee
Steve Brunton
(University of Washington)
Cecilia Clementi
(Rice University)
Yann LeCun
(Facebook)
Marina Meila
(University of Washington)
Frank Noe
(Freie Universität Berlin)
Francesco Paesani
(University of California, San Diego (UCSD))