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← Authors

Johannes Brandstetter

23 papers · 2019–2025 · 4 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (7)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (23) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (62) πŸ”₯ Unstoppable (7)

Conferences

ICML (8) ICLR (7) NIPS (7) AAAI (1)

Top co-authors

Sepp Hochreiter (11) Max Welling (6) GΓΌnter Klambauer (5) Lukas Gruber (3) Michael Widrich (3) Markus Holzleitner (3) Maximilian Beck (3) Korbinian PΓΆppel (3) Benedikt Alkin (3) David Ruhe (3)

Keywords

transformer architecture (3) partial differential equation (3) neural network (2) lie point symmetry (2) reward redistribution (2) fluid dynamics (2) neural pde solver (2) delayed reward (2) attention mechanism (1) demonstration learning (1) self-supervised learning (1) state space model (1) dynamical system (1) hopfield network (1) temporal difference learning (1) multiple instance learning (1) inductive bia (1) markov decision process (1) imitation learning (1) physics-informed neural network (1)

Papers

Geometry-Informed Neural Networks ICML 2025 Vision-LSTM: xLSTM as Generic Vision Backbone ICLR 2025 Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences ICLR 2025 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations ICLR 2025 A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks ICML 2025 Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics ICML 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NIPS 2024 xLSTM: Extended Long Short-Term Memory NIPS 2024 Clifford-Steerable Convolutional Neural Networks ICML 2024 Clifford Neural Layers for PDE Modeling ICLR 2023 Lie Point Symmetry and Physics-Informed Networks NIPS 2023 Clifford Group Equivariant Neural Networks NIPS 2023 PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers NIPS 2023 Boundary Graph Neural Networks for 3D Simulations AAAI 2023 ClimaX: A foundation model for weather and climate ICML 2023 Geometric Clifford Algebra Networks ICML 2023 Message Passing Neural PDE Solvers ICLR 2022 Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution ICML 2022 Geometric and Physical Quantities improve E(3) Equivariant Message Passing ICLR 2022 Lie Point Symmetry Data Augmentation for Neural PDE Solvers ICML 2022 Hopfield Networks is All You Need ICLR 2021 Modern Hopfield Networks and Attention for Immune Repertoire Classification NIPS 2020 RUDDER: Return Decomposition for Delayed Rewards NIPS 2019