Brandstetter, Johannes

49 publications

ICLRW 2025 5d Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence Gianluca Galletti, Fabian Paischer, Paul Setinek, William Hornsby, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter

ICML 2025 A Large Recurrent Action Model: xLSTM Enables Fast Inference for Robotics Tasks Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter

TMLR 2025 AB-UPT: Scaling Neural CFD Surrogates for High- Fidelity Automotive Aerodynamics Simulations via Anchored- Branched Universal Physics Transformers Benedikt Alkin, Maurits Bleeker, Richard Kurle, Tobias Kronlachner, Reinhard Sonnleitner, Matthias Dorfer, Johannes Brandstetter

ICLR 2025 Bio-xLSTM: Generative Modeling, Representation and In-Context Learning of Biological and Chemical Sequences Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer

ICML 2025 Geometry-Informed Neural Networks Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter

NeurIPS 2025 GyroSwin: 5d Surrogates for Gyrokinetic Plasma Turbulence Simulations Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter

NeurIPS 2025 LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter

ICLRW 2025 LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter

ICLR 2025 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter

ICLRW 2025 NeuralDEM: Real-Time Simulation of Industrial Particulate Flows Benedikt Alkin, Tobias Kronlachner, Samuele Papa, Stefan Pirker, Thomas Lichtenegger, Johannes Brandstetter

ICLRW 2025 Shape Generation via Weight Space Learning Maximilian Plattner, Arturs Berzins, Johannes Brandstetter

ICLRW 2025 UPT++: Latent Point Set Neural Operators for Modeling System State Transitions Andreas Fürst, Florian Sestak, Artur P. Toshev, Benedikt Alkin, Nikolaus A. Adams, Andreas Mayr, Günter Klambauer, Johannes Brandstetter

ICLR 2025 Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

NeurIPSW 2024 A Large Recurrent Action Model: xLSTM Enables Fast Inference for Robotics Tasks Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter

NeurIPSW 2024 Bio-xLSTM: Generative Modeling, Representation and In-Context Learning of Biological and Chemical Sequences Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer

ICML 2024 Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forré

ICLRW 2024 GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr

ICMLW 2024 Geometry-Informed Neural Networks Arturs Berzins, Andreas Radler, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter

ICLRW 2024 JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams

NeurIPSW 2024 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter

ICML 2024 Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

ICLRW 2024 Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter

ICMLW 2024 Processing Large-Scale Graphs with G-Signatures Lukas Gruber, Bernhard Schäfl, Johannes Brandstetter, Sepp Hochreiter

NeurIPS 2024 Universal Physics Transformers: A Framework for Efficiently Scaling Neural Operators Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter

ICMLW 2024 Vision-LSTM: xLSTM as Generic Vision Backbone Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

NeurIPS 2024 xLSTM: Extended Long Short-Term Memory Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

ICMLW 2024 xLSTM: Extended Long Short-Term Memory Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

ICMLW 2024 xLSTM: Extended Long Short-Term Memory Korbinian Pöppel, Maximilian Beck, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

AAAI 2023 Boundary Graph Neural Networks for 3D Simulations Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter

NeurIPS 2023 Clifford Group Equivariant Neural Networks David Ruhe, Johannes Brandstetter, Patrick Forré

ICLR 2023 Clifford Neural Layers for PDE Modeling Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K Gupta

ICML 2023 ClimaX: A Foundation Model for Weather and Climate Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover

ICMLW 2023 ClimaX: A Foundation Model for Weather and Climate Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover

ICLRW 2023 E($3$) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics Artur Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams

ICML 2023 Geometric Clifford Algebra Networks David Ruhe, Jayesh K Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter

ICMLW 2023 Lie Point Symmetry and Physics Informed Networks Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh

NeurIPS 2023 Lie Point Symmetry and Physics-Informed Networks Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh

ICMLW 2023 Modeling Accurate Long Rollouts with Temporal Neural PDE Solvers Phillip Lippe, Bastiaan S. Veeling, Paris Perdikaris, Richard E Turner, Johannes Brandstetter

NeurIPS 2023 PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers Phillip Lippe, Bas Veeling, Paris Perdikaris, Richard Turner, Johannes Brandstetter

TMLR 2023 Towards Multi-Spatiotemporal-Scale Generalized PDE Modeling Jayesh K Gupta, Johannes Brandstetter

ICML 2022 Align-RUDDER: Learning from Few Demonstrations by Reward Redistribution Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M Blies, Johannes Brandstetter, José Arjona-Medina, Sepp Hochreiter

CoLLAs 2022 Few-Shot Learning by Dimensionality Reduction in Gradient Space 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

ICLR 2022 Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J Bekkers, Max Welling

ICML 2022 Lie Point Symmetry Data Augmentation for Neural PDE Solvers Johannes Brandstetter, Max Welling, Daniel E Worrall

ICLR 2022 Message Passing Neural PDE Solvers Johannes Brandstetter, Daniel E. Worrall, Max Welling

ICLR 2021 Hopfield Networks Is All You Need Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

NeurIPS 2020 Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich, Bernhard Schäfl, Milena Pavlović, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

NeurIPSW 2019 A GAN Based Solver of Black-Box Inverse Problems Michael Gillhofer, Hubert Ramsauer, Johannes Brandstetter, Bernhard Schäfl, Sepp Hochreiter

NeurIPS 2019 RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter