Johannes Brandstetter

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (11) 🏆 Keyword Champion (2) 🏆 Grand Slam 👑 Triple Crown ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🌈 Renaissance Researcher (6) 🗃️ Keyword Collector (110)

Venues

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

Top co-authors

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

Research topics

Deep Learning (19) Machine Learning (18) Architectures (16) Core Methods (7) Optimization & Theory (7) Artificial Intelligence (6) Core AI (5) Learning Types · Machine Learning (5) Application Areas (4) Models (4) Reinforcement Learning (3) Learning Types · Deep Learning (3) Methods (3) Techniques (3) Computer Vision (2)

Keywords

partial differential equation (5) fluid dynamics (4) neural network (4) transformer architecture (3) graph neural network (3) multivector field (2) attention mechanism (2) clifford group (2) delayed reward (2) clifford algebra (2) reward redistribution (2) equivariant neural network (2) hopfield network (2) lie point symmetry (2) long short-term memory (2) neural pde solver (2) in-context learning (1) data augmentation (1) vision transformer (1) self-supervised learning (1)

Papers

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