Philipp Holl

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Graph Mining Algorithms

Weakly Supervised

Top Venues

J. Open Source Softw.

Publications

Philipp Holl, Nils Thuerey
Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy. J. Open Source Softw. 9 (96) (2024)
Patrick Schnell, Philipp Holl, Nils Thuerey
Half-Inverse Gradients for Physical Deep Learning. CoRR (2022)
Jonathan Klimesch, Philipp Holl, Nils Thuerey
Simulating Liquids with Graph Networks. CoRR (2022)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Scale-invariant Learning by Physics Inversion. NeurIPS (2022)
Patrick Schnell, Philipp Holl, Nils Thuerey
Half-Inverse Gradients for Physical Deep Learning. ICLR (2022)
Nils Thuerey, Philipp Holl, Maximilian Müller, Patrick Schnell, Felix Trost, Kiwon Um
Physics-based Deep Learning. CoRR (2021)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Physical Gradients for Deep Learning. CoRR (2021)
Kiwon Um, Robert Brand, Yun (Raymond) Fei, Philipp Holl, Nils Thuerey
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. NeurIPS (2020)
Philipp Holl, Nils Thuerey, Vladlen Koltun
Learning to Control PDEs with Differentiable Physics. ICLR (2020)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Learning to Control PDEs with Differentiable Physics. CoRR (2020)
Kiwon Um, Yun (Raymond) Fei, Philipp Holl, Robert Brand, Nils Thuerey
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. CoRR (2020)