Machine Learning and the Physical Sciences
Nicole Hartman · Garrett Merz · Vinicius Mikuni · Mariel Pettee · Sebastian Wagner-Carena · Antoine Wehenkel · Atilim Gunes Baydin · Kyle Cranmer · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah Thais
Abstract
The Machine Learning and the Physical Sciences (ML4PS) workshop at NeurIPS is a unique gathering space for the growing community spearheading cross-cutting research topics at the intersection of machine learning (ML) and the physical sciences (PS). This includes the applications of ML to problems in the physical sciences (ML for PS) as well as developments in ML motivated by physical insights (PS for ML). The physical sciences are defined inclusively, including but not limited to physics, astronomy, cosmology, chemistry, biophysics, materials science, and Earth science. Join us to discuss the latest research at the convergence of these fields!
Schedule
Timezone: America/Los_Angeles
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