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ClimaX: A foundation model for weather and climate


Jan 24, 2023
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover

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Towards Multi-spatiotemporal-scale Generalized PDE Modeling


Sep 30, 2022
Jayesh K. Gupta, Johannes Brandstetter

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Clifford Neural Layers for PDE Modeling


Sep 08, 2022
Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta

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Few-Shot Learning by Dimensionality Reduction in Gradient Space


Jun 07, 2022
Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner

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* Accepted at Conference on Lifelong Learning Agents (CoLLAs) 2022. Code: https://github.com/ml-jku/subgd Blog post: https://ml-jku.github.io/subgd 

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Lie Point Symmetry Data Augmentation for Neural PDE Solvers


Feb 15, 2022
Johannes Brandstetter, Max Welling, Daniel E. Worrall

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Message Passing Neural PDE Solvers


Feb 07, 2022
Johannes Brandstetter, Daniel Worrall, Max Welling

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* Published at ICLR 2022 

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Geometric and Physical Quantities improve E(3) Equivariant Message Passing


Oct 06, 2021
Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik Bekkers, Max Welling

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Boundary Graph Neural Networks for 3D Simulations


Jun 21, 2021
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter

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Learning 3D Granular Flow Simulations


May 04, 2021
Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter

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Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER


Dec 02, 2020
Markus Holzleitner, Lukas Gruber, José Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter

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* 20 pages 

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