J. Brandstetter
- Hopfield Networks is All You Need
2020/07/16 by Hubert Ramsauer, Ramsauer, Hubert, Bernhard Schäfl +32 · 9 voices · 84 citations
Neuroscience · Computer Science · #Cognitive Science and Education Research #Semantic Web and Ontologies
- xLSTM: Extended Long Short-Term Memory
2024/05/07 by Maximilian Beck, Beck, Maximilian, Korbinian Pöppel +17 · 10 voices · 75 citations
Computer Science · #Topic Modeling
- ClimaX: A foundation model for weather and climate
2023/01/24 by Tung Nguyen, Nguyen, Tung, J. Brandstetter +7 · 54 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Hydrological Forecasting Using AI
- Message Passing Neural PDE Solvers
2022/02/07 by J. Brandstetter, Brandstetter, Johannes, Daniel E. Worrall +3 · 38 citations
Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
2021/10/06 by J. Brandstetter, Rob Hesselink, Brandstetter, Johannes +7 · 26 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Topic Modeling
- Towards Multi-spatiotemporal-scale Generalized PDE Modeling
2022/09/30 by Jayesh K. Gupta, Gupta, Jayesh K., J. Brandstetter +1 · 30 citations
Computer Science · Engineering · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fluid Dynamics and Vibration Analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
2023/08/10 by Phillip Lippe, Bastiaan S. Veeling, Lippe, Phillip +7 · 32 citations
Physics and Astronomy · Earth and Planetary Sciences · Engineering · #Model Reduction and Neural Networks #Meteorological Phenomena and Simulations #Lattice Boltzmann Simulation Studies
- Vision-LSTM: xLSTM as Generic Vision Backbone
2024/06/06 by Benedikt Alkin, Alkin, Benedikt, Maximilian Beck +8 · 2 voices · 7 citations
Engineering · Earth and Planetary Sciences · #cs.CV #cs.AI #cs.LG
- A Foundation Model for the Earth System
2024/05/20 by Cristian Bodnar, Wessel P. Bruinsma, Bodnar, Cristian +36 · 3 voices · 16 citations
Physics and Astronomy · #Solar and Space Plasma Dynamics #cs.LG #physics.ao-ph
- RUDDER: Return Decomposition for Delayed Rewards
2018/06/20 by Jose A. Arjona-Medina, Arjona-Medina, Jose A., Michael Gillhofer +9 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel Computing and Optimization Techniques #Reinforcement Learning in Robotics #Topic Modeling
- Lie Point Symmetry Data Augmentation for Neural PDE Solvers
2022/02/15 by J. Brandstetter, Brandstetter, Johannes, Max Welling +3 · 9 citations
Physics and Astronomy · #Model Reduction and Neural Networks
- Clifford Group Equivariant Neural Networks
2023/05/18 by David Ruhe, Ruhe, David, J. Brandstetter +3 · 9 citations
Medicine · Neuroscience · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Lie Point Symmetry and Physics Informed Networks
2023/11/07 by Tara Akhound-Sadegh, Akhound-Sadegh, Tara, Laurence Perreault-Levasseur +7 · 8 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
2025/02/13 by Benedikt Alkin, Maurits Bleeker, Alkin, Benedikt +10 · 12 citations
Engineering · Physics and Astronomy · #Aerodynamics and Fluid Dynamics Research #Aerospace and Aviation Technology #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Boundary Graph Neural Networks for 3D Simulations
2021/06/21 by Andreas Mayr, Mayr, Andreas, Sebastian Lehner +9 · 3 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
2024/02/15 by Benedikt Alkin, Lukas Miklautz, Alkin, Benedikt +5 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning in Bioinformatics #Neural Networks and Applications
- Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
2024/11/06 by Niklas Schmidinger, Schmidinger, Niklas, Lisa Schneckenreiter +18 · 2 voices · 4 citations
Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #Gene expression and cancer classification
- Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
2024/02/09 by Artur P. Toshev, Toshev, Artur P., Jonas A. Erbesdobler +5 · 3 citations
Engineering · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics Simulations and Interactions #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG)
- Geometric Clifford Algebra Networks
2023/02/13 by David Ruhe, Jayesh K. Gupta, Ruhe, David +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · #Algebraic and Geometric Analysis #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Microtubule and mitosis dynamics
- Clifford-Steerable Convolutional Neural Networks
2024/02/22 by Maksim Zhdanov, Zhdanov, Maksim, David Ruhe +9 · 3 citations
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
2024/10/29 by Thomas Schmied, Thomas Adler, Schmied, Thomas +15 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
2024/03/07 by Artur P. Toshev, H. D. Ramachandran, Toshev, Artur P. +9 · 1 citation
Engineering · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics Simulations and Interactions #Fluid Dynamics and Heat Transfer #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG)
- 5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
2025/02/11 by Gianluca Galletti, Fabian Paischer, Galletti, Gianluca +12 · 3 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Plasma Physics (physics.plasm-ph) #Target Tracking and Data Fusion in Sensor Networks
- SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts
2025/06/13 by Paul Setinek, Setinek, Paul, Gianluca Galletti +9 · 3 citations
Computer Science · #Neural Networks and Applications