ML models often exhibit unexpectedly poor behavior when they are deployed in
real-world domains. We identify underspecification as a key reason for these
failures. An ML pipeline is underspecified when it can return many predictors
with equivalently stron... (more…)
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A machine learning algorithm for auto-discovering conserved quantities has been tested on five Hamiltonian systems, including the gravitational 3-body problem. (more…)
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When flooding occurs, Synthetic Aperture Radar (SAR) imagery is often used to identify flood extent and the affected buildings for two reasons: (i) for early disaster response, such as rescue operations, and (ii) for flood risk analysis. Furthermore, the ... (more…)
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To learn more and make your own visit: https://g.co/tinysorter Tiny Sorter is a fun starter project that teaches you about machine learning and physical comp... (more…)
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