Understanding Many-Particle Systems with Machine Learning Tutorials

September 13 - 16, 2016


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The long program opens with four days of tutorials that will provide an introduction to major themes of the entire program and the four workshops. In particular, these tutorials will cover fundamentals of machine learning, a physical background for describing many particle systems, and mathematical aspects of machine learning and many particle systems. The goal is to build a foundation and common language for the participants of this program who have diverse scientific backgrounds.

Registration for tutorials is free, to encourage broad participation.

Organizing Committee

Alán Aspuru-Guzik (Harvard University)
Gabor Csanyi (University of Cambridge)
Mauro Maggioni (Duke University, Mathematics and Computer Science)
Stéphane Mallat (École Normale Supérieure)
Glenn Martyna (IBM Watson Research Center)
Marina Meila (University of Washington)
Klaus-Robert Müller (Technische Universität Berlin)
Alexandre Tkatchenko (University of Luxembourg, Theory)