Search Results for author: Patrick Schnell

Found 2 papers, 2 papers with code

Half-Inverse Gradients for Physical Deep Learning

2 code implementations ICLR 2022 Patrick Schnell, Philipp Holl, Nils Thuerey

Recent works in deep learning have shown that integrating differentiable physics simulators into the training process can greatly improve the quality of results.

Physics-based Deep Learning

4 code implementations11 Sep 2021 Nils Thuerey, Philipp Holl, Maximilian Mueller, Patrick Schnell, Felix Trost, Kiwon Um

This digital book contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations.

Physical Simulations reinforcement-learning +1

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