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Physics in Machine Learning Workshop

This workshop will focus on substantive connections between machine learning (including but not limited to deep learning) and physics (including astrophysics). Namely, we are interested in topics like imbuing physical laws into training (e.g., physics regularization of layers), learning new physical phenomena from learned models, physics-constrained reinforcement learning, prediction outside training parameters, and the (physical) interpretability of models.
When 29 May 2019
from 09:15 PM to 09:15 PM
Where Berkeley CA USA
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