Philipp Holl

According to our database, Philipp Holl authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy.

Philipp Holl, Nils Thuerey

J. Open Source Softw., April, 2024

The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks.

Philipp Holl, Nils Thuerey

CoRR, 2024

ΦFlow: Differentiable Simulations for PyTorch, TensorFlow and Jax.

Philipp Holl, Nils Thuerey

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Simulating Liquids with Graph Networks.

Jonathan Klimesch, Philipp Holl, Nils Thuerey

CoRR, 2022

Scale-invariant Learning by Physics Inversion.

Philipp Holl, Vladlen Koltun, Nils Thuerey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Half-Inverse Gradients for Physical Deep Learning.

Patrick Schnell, Philipp Holl, Nils Thuerey

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Physical Gradients for Deep Learning.

Philipp Holl, Vladlen Koltun, Nils Thuerey

CoRR, 2021

Physics-based Deep Learning.

Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um

CoRR, 2021

2020

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers.

Kiwon Um, Robert Brand, Yun (Raymond) Fei, Philipp Holl, Nils Thuerey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Control PDEs with Differentiable Physics.

Philipp Holl, Nils Thuerey, Vladlen Koltun

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Deep learning based pulse shape discrimination for germanium detectors.

Philipp Holl, L. Hauertmann, Béla Majorovits, Oliver Schulz, Maria Schuster, A. J. Zsigmond

CoRR, 2019