Philipp Holl
Philipp Holl
Verified email at tum.de
Title
Cited by
Cited by
Year
Learning to control pdes with differentiable physics
P Holl, V Koltun, N Thuerey
arXiv preprint arXiv:2001.07457, 2020
502020
Holography of wi-fi radiation
PM Holl, F Reinhard
Physical review letters 118 (18), 183901, 2017
462017
Solver-in-the-loop: Learning from differentiable physics to interact with iterative PDE-solvers
K Um, R Brand, P Holl, N Thuerey
arXiv preprint arXiv:2007.00016, 2020
252020
Deep learning based pulse shape discrimination for germanium detectors
P Holl, L Hauertmann, B Majorovits, O Schulz, M Schuster, AJ Zsigmond
The European Physical Journal C 79 (6), 1-9, 2019
142019
Physics-based Deep Learning
N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um
arXiv preprint arXiv:2109.05237, 2021
12021
Physical Gradients for Deep Learning
P Holl, V Koltun, N Thuerey
arXiv preprint arXiv:2109.15048, 2021
2021
Learning Time-Aware Assistance Functions for Numerical Fluid Solvers
K Um, YR Fei, P Holl, N Thuerey
2020
phiflow: A Differentiable PDE Solving Framework for Deep Learning via Physical Simulations
P Holl, V Koltun, K Um, TP LTCI, IP Paris, N Thuerey
NeurIPS Workshop, 2020
2020
Differentiable Physics for Improving the Accuracy of Iterative PDE-Solvers with Neural Networks
K Um, YR Fei, P Holl, R Brand, N Thuerey
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Articles 1–9