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20162025
most citedSolver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

130 citations · 309 across the 10 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 4 cited

Scale-invariant Learning by Physics Inversion

Philipp Holl, Vladlen Koltun, Nils Thuerey

Solving inverse problems, such as parameter estimation and optimal control, is a vital part of science. Many experiments repeatedly collect data and rely on machine learning algori…

cs.LG2021★ 3 cited

Physics-based Deep Learning

N. Thuerey, B. Holzschuh, P. Holl +5

This document is a hands-on, comprehensive guide to deep learning in the realm of physical simulations. Rather than just theory, we emphasize practical application: every concept i…