Web: http://arxiv.org/abs/2111.00998

June 20, 2022, 1:11 a.m. | Robert Stephany, Christopher Earls

cs.LG updates on arXiv.org arxiv.org

PDE discovery shows promise for uncovering predictive models of complex
physical systems but has difficulty when measurements are sparse and noisy. We
introduce a new approach for PDE discovery that uses two Rational Neural
Networks and a principled sparse regression algorithm to identify the hidden
dynamics that govern a system's response. The first network learns the system
response function, while the second learns a hidden PDE describing the system's
evolution. We then use a parameter-free sparse regression algorithm to extract …

arxiv deep deep learning discovery equation human learning lg

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY