Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences “Learning to learn, learning to forget“ Pratyush Tiwary - University of Maryland, Institute for Physical Science and Technology Abstract: The ability to rapidly learn from high-dimensional data to make reliable predictions about the future of a given system is crucial in many contexts. This could be a fly avoiding predators, or the retina processing terabytes of data almost instantaneousl
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