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Philipp Holl

The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks

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Aug 15, 2024
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Half-Inverse Gradients for Physical Deep Learning

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Mar 18, 2022
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Simulating Liquids with Graph Networks

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Mar 14, 2022
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Physical Gradients for Deep Learning

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Oct 01, 2021
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Physics-based Deep Learning

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Sep 11, 2021
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Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

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Jun 30, 2020
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Learning to Control PDEs with Differentiable Physics

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Jan 21, 2020
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