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Philipp Holl
Philipp Holl
Verified email at tum.de
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Cited by
Cited by
Year
Solver-in-the-loop: Learning from differentiable physics to interact with iterative pde-solvers
K Um, R Brand, YR Fei, P Holl, N Thuerey
Advances in Neural Information Processing Systems 33, 6111-6122, 2020
2202020
Learning to control pdes with differentiable physics
P Holl, V Koltun, N Thuerey
arXiv preprint arXiv:2001.07457, 2020
1752020
Physics-based deep learning
N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um
arXiv preprint arXiv:2109.05237, 2021
1062021
Holography of wi-fi radiation
PM Holl, F Reinhard
Physical review letters 118 (18), 183901, 2017
782017
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, 1-9, 2019
412019
phiflow: A differentiable pde solving framework for deep learning via physical simulations
P Holl, V Koltun, K Um, N Thuerey
NeurIPS workshop 2, 2020
402020
Half-inverse gradients for physical deep learning
P Schnell, P Holl, N Thuerey
arXiv preprint arXiv:2203.10131, 2022
82022
Learning to control pdes with differentiable physics (2020)
P Holl, V Koltun, N Thuerey
arXiv preprint arXiv:2001.07457, 2001
72001
Physics-Based Deep Learning. 2021
N Thuerey, P Holl, M Mueller, P Schnell, F Trost, K Um
URL https://physicsbaseddeeplearning. org, 0
7
Scale-invariant learning by physics inversion
P Holl, V Koltun, N Thuerey
Advances in Neural Information Processing Systems 35, 5390-5403, 2022
52022
Simulating liquids with graph networks
J Klimesch, P Holl, N Thuerey
arXiv preprint arXiv:2203.07895, 2022
42022
Physical gradients for deep learning
P Holl, N Thuerey, V Koltun
32021
: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy
P Holl, N Thuerey
Journal of Open Source Software 9 (95), 6171, 2024
2024
Learning Time-Aware Assistance Functions for Numerical Fluid Solvers
K Um, YR Fei, P Holl, N Thuerey
2020
Can Neural Networks Improve Classical Optimization of Inverse Problems?
P Holl, N Thuerey
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 1–16