Holl, Philipp

7 publications

ICMLW 2024 $\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for Machine Learning Philipp Holl, Nils Thuerey

ICML 2024 $\bfΦ_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and JAX Philipp Holl, Nils Thuerey

ICLR 2022 Half-Inverse Gradients for Physical Deep Learning Patrick Schnell, Philipp Holl, Nils Thuerey

NeurIPS 2022 Scale-Invariant Learning by Physics Inversion Philipp Holl, Vladlen Koltun, Nils Thuerey

ICLR 2020 Learning Time-Aware Assistance Functions for Numerical Fluid Solvers Kiwon Um, Yun Fei, Philipp Holl, Nils Thuerey

ICLR 2020 Learning to Control PDEs with Differentiable Physics Philipp Holl, Vladlen Koltun, Nils Thuerey

NeurIPS 2020 Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um, Robert Brand, Yun Fei, Philipp Holl, Nils Thuerey