JB
Johannes Brandstetter
cs.LGcs.AIstat.MLcs.CVphysics.flu-dynCMSPhysicsphysics.plasm-phphysics.comp-phq-bio.BM
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
W_qeskykzz·v1published
Preprints & journals
151 papers in the corpus · 1999–2026Compute-optimal data scaling for neural surrogates via multi-fidelity training2610.17221v1 · Paul Setinek, Fabian Paischer, Nils Thuerey et al.2026 · 0 citationsarXiv
Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes2607.24393v1 · Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
Autoregressive deep learning for real-time simulation of soft tissue dynamics during virtual neurosurgery2601.13676v1 · Fabian Greifeneder, Wolfgang Fenz, Benedikt Alkin et al.2026 · 0 citationsarXiv
VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification.41398608 · Sestak, Florian, Schneckenreiter, Lisa, Brandstetter, Johannes et al.2026 · 11 citationsJournal of cheminformatics. 2025;18(1):11
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD2511.01830v1 · Paul Setinek, Gianluca Galletti, Johannes Brandstetter2025 · 0 citationsarXiv
AB-UPT for Automotive and Aerospace Applications2510.15808v1 · Benedikt Alkin, Richard Kurle, Louis Serrano et al.2025 · 0 citationsarXiv
PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction2510.16004v2 · Andreas Radler, Vincent Seyfried, Johannes Brandstetter et al.2025 · 0 citationsarXiv
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations2510.07314v4 · Fabian Paischer, Gianluca Galletti, William Hornsby et al.2025 · 1 citationarXiv
Einstein Fields: A Neural Perspective To Computational General Relativity2507.11589v2 · Sandeep Suresh Cranganore, Andrei Bodnar, Arturs Berzins et al.2025 · 0 citationsThe Fourteenth International Conference on Learning Representations 2026
SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts2506.12007v3 · Paul Setinek, Gianluca Galletti, Thomas Gross et al.2025 · 0 citationsarXiv
A foundation model for the Earth system.40399684 · Bodnar, Cristian, Bruinsma, Wessel P, Lucic, Ana et al.2025 · 264 citationsNature. 2025;641(8065):1180-1187
Towards scientific machine learning for granular material simulations -- challenges and opportunities2504.08766v1 · Marc Fransen, Andreas Furst, Deepak Tunuguntla et al.2025 · 12 citationsarXiv
Shape Generation via Weight Space Learning2503.21830v1 · Maximilian Plattner, Arturs Berzins, Johannes Brandstetter2025 · 0 citationsarXiv
Neural operator surrogate models of plasma edge simulations: feasibility and data efficiency2502.17386v2 · N. Carey, L. Zanisi, S. Pamela et al.2025 · 3 citationsarXiv
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities2502.12128v5 · Florian Sestak, Artur Toshev, Andreas Furst et al.2025 · 1 citationarXiv
Diverse Topology Optimization using Modulated Neural Fields2502.13174v2 · Andreas Radler, Eric Volkmann, Johannes Brandstetter et al.2025 · 1 citationarXiv
AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers2502.09692v4 · Benedikt Alkin, Maurits Bleeker, Richard Kurle et al.2025 · 1 citationarXiv
5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence2502.07469v1 · Gianluca Galletti, Fabian Paischer, Paul Setinek et al.2025 · 1 citationarXiv
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows2411.09678v2 · Benedikt Alkin, Tobias Kronlachner, Samuele Papa et al.2024 · 0 citationsarXiv
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences2411.04165v1 · Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl et al.2024 · 8 citationsarXiv
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks2410.22391v3 · Thomas Schmied, Thomas Adler, Vihang Patil et al.2024 · 2 citationsarXiv
Vision-LSTM: xLSTM as Generic Vision Backbone2406.04303v3 · Benedikt Alkin, Maximilian Beck, Korbinian Poppel et al.2024 · 39 citationsarXiv
xLSTM: Extended Long Short-Term Memory2405.04517v2 · Maximilian Beck, Korbinian Poppel, Markus Spanring et al.2024 · 292 citationsarXiv
Neural-Parareal: Dynamically Training Neural Operators as Coarse Solvers for Time-Parallelisation of Fusion MHD Simulations2405.01355v1 · S.J.P. Pamela, N. Carey, J. Brandstetter et al.2024 · 6 citationsVolume 307, 2025, 109391
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification2404.07194v1 · Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter et al.2024 · 5 citationsarXiv
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks2403.04747v1 · Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak et al.2024 · 1 citationarXiv
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework2403.04750v2 · Artur P. Toshev, Harish Ramachandran, Jonas A. Erbesdobler et al.2024 · 1 citationarXiv
Clifford-Steerable Convolutional Neural Networks2402.14730v3 · Maksim Zhdanov, David Ruhe, Maurice Weiler et al.2024 · 3 citationsarXiv
Geometry-Informed Neural Networks2402.14009v4 · Arturs Berzins, Andreas Radler, Eric Volkmann et al.2024 · 2 citationsarXiv
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators2402.12365v5 · Benedikt Alkin, Andreas Furst, Simon Schmid et al.2024 · 24 citationsarXiv
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations2402.10093v4 · Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter et al.2024 · 3 citationsarXiv
Data efficiency and long term prediction capabilities for neural operator surrogate models of core and edge plasma codes2402.08561v1 · N. Carey, L. Zanisi, S. Pamela et al.2024 · 0 citationsarXiv
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics2402.06275v2 · Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams et al.2024 · 2 citationsarXiv
Learning Lagrangian Fluid Mechanics with E()-Equivariant Graph Neural Networks2305.15603v1 · Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter et al.2023 · 8 citationsarXiv
E() Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics2304.00150v1 · Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter et al.2023 · 1 citationarXiv
G-Signatures: Global Graph Propagation With Randomized Signatures2302.08811v2 · Bernhard Schafl, Lukas Gruber, Johannes Brandstetter et al.2023 · 0 citationsarXiv
Geometric Clifford Algebra Networks2302.06594v2 · David Ruhe, Jayesh K. Gupta, Steven de Keninck et al.2023 · 13 citationsarXiv
ClimaX: A foundation model for weather and climate2301.10343v5 · Tung Nguyen, Johannes Brandstetter, Ashish Kapoor et al.2023 · 174 citationsarXiv
Towards Multi-spatiotemporal-scale Generalized PDE Modeling2209.15616v2 · Jayesh K. Gupta, Johannes Brandstetter2022 · 28 citationsarXiv
Clifford Neural Layers for PDE Modeling2209.04934v2 · Johannes Brandstetter, Rianne van den Berg, Max Welling et al.2022 · 25 citationsarXiv
Few-Shot Learning by Dimensionality Reduction in Gradient Space2206.03483v1 · Martin Gauch, Maximilian Beck, Thomas Adler et al.2022 · 1 citationProceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:1043-1064 (2022)
Lie Point Symmetry Data Augmentation for Neural PDE Solvers2202.07643v2 · Johannes Brandstetter, Max Welling, Daniel E. Worrall2022 · 12 citationsarXiv
Message Passing Neural PDE Solvers2202.03376v3 · Johannes Brandstetter, Daniel Worrall, Max Welling2022 · 78 citationsarXiv
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing2110.02905v3 · Johannes Brandstetter, Rob Hesselink, Elise van der Pol et al.2021 · 43 citationsarXiv
Boundary Graph Neural Networks for 3D Simulations2106.11299v7 · Andreas Mayr, Sebastian Lehner, Arno Mayrhofer et al.2021 · 21 citationsarXiv
Learning 3D Granular Flow Simulations2105.01636v1 · Andreas Mayr, Sebastian Lehner, Arno Mayrhofer et al.2021 · 3 citationsarXiv
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER2012.01399v1 · Markus Holzleitner, Lukas Gruber, Jos'e Arjona-Medina et al.2020 · 46 citationsarXiv
Cross-Domain Few-Shot Learning by Representation Fusion2010.06498v2 · Thomas Adler, Johannes Brandstetter, Michael Widrich et al.2020 · 26 citationsarXiv
Career total: 685 works. 151 are in this corpus.Showing the 50 most recent.
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