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Aleksandr Aravkin - Algorithms for Nonsmooth, Nonconvex Problems in Data-Driven Discovery
Kathleen Champion - Data-driven discovery of coordinates and governing equations
HLCS | Interpretable and Explainable Data-Driven Methods for Physical Simulations
Nicholas Zabaras - Physics Informed Learning for Multiscale Dynamical Systems
Paris Perdikaris - Data-driven modeling of stochastic systems using physics-aware deep learning
Michael Mahoney - Dynamical systems and machine learning
Steve Brunton - Discovering interpretable and generalizable dynamical systems from data
Interpretable and Structure-Preserving Data-Driven Methods for Physical Simulations - Youngsoo Choi
Physics-constrained data-driven physical simulations, using machine learning by Dr. Youngsoo Choi
No equations, no variables: data driven (and physics informed) dynamic models
Runhai Ouyang: The Data-driven Method SISSO: Concept, Challenges, and Applications
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Last Updated: October 1, 2026
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DDPS Talk Date: October 23, 2025 Speaker: Ulisses M. Braga-Neto (Texas A&M University) Title: Scientific Machine Learning: ... Watch as we delve into the comparison of Prof. Benjamin Peherstorfer from the Courant Institute of Mathematical Sciences speaking in the UW Talk given at the University of Washington on 6/6/19 for the Talk starts at 1:45 Prof. Nicholas Zabaras speaking in the UW Prof. Michael Mahoney from UC Berkeley speaking in the APEX Consulting: theapexconsulting.com Website: jousefmurad.com A IMAG/MSM Working Group on MULTISCALE MODELING AND VIRAL PANDEMICS. Miniseminar presentation by Yannis ... Invited Talk of Runhai Ouyang at the virtual Conference on a FAIR
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