Understanding Many-Particle Systems with Machine 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.
- Understanding Many-Particle Systems with Machine Learning Opening Day : September 12, 2016
- Understanding Many-Particle Systems with Machine Learning Tutorials : September 13-16, 2016
- Workshop I: Machine Learning Meets Many-Particle Problems : September 26-30, 2016
- Workshop II: Collective Variables in Classical Mechanics : October 24-28, 2016
- Workshop III: Collective Variables in Quantum Mechanics : November 14-18, 2016
- Workshop IV: Synergies between Machine Learning and Physical Models : December 5-8, 2016
- Culminating Workshop at Lake Arrowhead Conference Center : December 11-16, 2016
Organizing Committee
Alán Aspuru-Guzik
(Harvard University)
Gabor Csányi
(University of Cambridge)
Mauro Maggioni
(Duke University)
Stéphane Mallat
(École Normale Supérieure)
Marina Meila
(University of Washington)
Klaus-Robert Müller
(Technische Universität Berlin)
Alexandre Tkatchenko
(University of Luxembourg)