Johannes Brandstetter
Johannes Kepler Universität Linz
H-index: 22
Europe-Austria
Top articles of Johannes Brandstetter
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework | arXiv preprint arXiv:2403.04750 | Artur P Toshev Harish Ramachandran Jonas A Erbesdobler Gianluca Galletti Johannes Brandstetter | 2024/3/7 |
Data efficiency and long term prediction capabilities for neural operator surrogate models of core and edge plasma codes | arXiv preprint arXiv:2402.08561 | N Carey L Zanisi S Pamela V Gopakumar J Omotani | 2024/2/13 |
Clifford-Steerable Convolutional Neural Networks | arXiv preprint arXiv:2402.14730 | Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter | 2024/2/22 |
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics | arXiv preprint arXiv:2402.06275 | Artur P Toshev Jonas A Erbesdobler Nikolaus A Adams Johannes Brandstetter | 2024/2/9 |
Geometry-Informed Neural Networks | arXiv preprint arXiv:2402.14009 | Arturs Berzins Andreas Radler Sebastian Sanokowski Sepp Hochreiter Johannes Brandstetter | 2024/2/21 |
VN-EGNN: E (3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification | arXiv preprint arXiv:2404.07194 | Florian Sestak Lisa Schneckenreiter Johannes Brandstetter Sepp Hochreiter Andreas Mayr | 2024/4/10 |
Universal Physics Transformers | arXiv preprint arXiv:2402.12365 | Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner | 2024/2/19 |
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks | arXiv preprint arXiv:2403.04747 | Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter Günter Klambauer | 2024/3/7 |
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations | arXiv preprint arXiv:2402.10093 | Benedikt Alkin Lukas Miklautz Sepp Hochreiter Johannes Brandstetter | 2024/2/15 |
ClimaX: A foundation model for weather and climate | Proceedings of the 40th International Conference on Machine Learning | Tung Nguyen Johannes Brandstetter Ashish Kapoor Jayesh K Gupta Aditya Grover | 2023/1/24 |
Learning Lagrangian Fluid Mechanics with E ()-Equivariant Graph Neural Networks | International Conference on Geometric Science of Information, GSI 2023 | Artur P Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A Adams | 2023/5/24 |
Clifford group equivariant neural networks | David Ruhe Johannes Brandstetter Patrick Forré | 2023/12/14 | |
E () Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics | ICLR 2023 Workshop on Physics for Machine Learning | Artur P Toshev Gianluca Galletti Johannes Brandstetter Stefan Adami Nikolaus A Adams | 2023/3/31 |
G-Signatures: Global Graph Propagation With Randomized Signatures | arXiv preprint arXiv:2302.08811 | Bernhard Schäfl Lukas Gruber Johannes Brandstetter Sepp Hochreiter | 2023/2/17 |
Lie Point Symmetry and Physics Informed Networks | Advances in Neural Information Processing Systems | Tara Akhound-Sadegh Laurence Perreault-Levasseur Johannes Brandstetter Max Welling Siamak Ravanbakhsh | 2024/2/13 |
Geometric clifford algebra networks | David Ruhe Jayesh K Gupta Steven De Keninck Max Welling Johannes Brandstetter | 2023/7/3 | |
Pde-refiner: Achieving accurate long rollouts with neural pde solvers | Advances in Neural Information Processing Systems | Phillip Lippe Bas Veeling Paris Perdikaris Richard Turner Johannes Brandstetter | 2024/2/13 |
Message passing neural PDE solvers | arXiv preprint arXiv:2202.03376 | Johannes Brandstetter Daniel Worrall Max Welling | 2022/2/7 |
Few-shot learning by dimensionality reduction in gradient space | Martin Gauch Maximilian Beck Thomas Adler Dmytro Kotsur Stefan Fiel | 2022/11/28 | |
Towards multi-spatiotemporal-scale generalized pde modeling | Transactions on Machine Learning (TMLR) 07/2023 | Jayesh K Gupta* Johannes Brandstetter* | 2022/9/30 |
Co-Authors
