An active learning method based on E-SINDy identifies governing ODEs and PDEs accurately with significantly fewer data samples than random sampling across tested systems.
Integrating scientific knowledge with machine learning for engineering and environmental systems.ACM Comput
4 Pith papers cite this work. Polarity classification is still indexing.
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AMIGO is an end-to-end differentiable forward model of JWST AMI that corrects detector systematics to recover high-precision astrometry and detect close high-contrast companions.
A PINN fuses NOAA Coral Reef Watch SST with sparse loggers via the 1D heat equation to generate depth-resolved temperatures and Degree Heating Day profiles with 0.25-1.38°C RMSE at unseen depths.
WeatherRobustBus injects hourly weather into real bus blocks, couples a physics backbone with a bounded monotone residual ensemble, and shows a policy reducing cold-wave failure probability from 0.759 to 0.112.
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AMIGO: a Data-Driven Calibration of the JWST Interferometer
AMIGO is an end-to-end differentiable forward model of JWST AMI that corrects detector systematics to recover high-precision astrometry and detect close high-contrast companions.