Johannes Brandstetter

According to our database1, Johannes Brandstetter authored at least 37 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Vision-LSTM: xLSTM as Generic Vision Backbone.
CoRR, 2024

Aurora: A Foundation Model of the Atmosphere.
CoRR, 2024

xLSTM: Extended Long Short-Term Memory.
CoRR, 2024

VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification.
CoRR, 2024

JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework.
CoRR, 2024

Geometry-Informed Neural Networks.
CoRR, 2024

Universal Physics Transformers.
CoRR, 2024

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations.
CoRR, 2024

Clifford-Steerable Convolutional Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Towards Multi-spatiotemporal-scale Generalized PDE Modeling.
Trans. Mach. Learn. Res., 2023

E(3) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics.
CoRR, 2023

G-Signatures: Global Graph Propagation With Randomized Signatures.
CoRR, 2023

Clifford Group Equivariant Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lie Point Symmetry and Physics-Informed Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Geometric Clifford Algebra Networks.
Proceedings of the International Conference on Machine Learning, 2023

ClimaX: A foundation model for weather and climate.
Proceedings of the International Conference on Machine Learning, 2023

Clifford Neural Layers for PDE Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Boundary Graph Neural Networks for 3D Simulations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution.
Proceedings of the International Conference on Machine Learning, 2022

Lie Point Symmetry Data Augmentation for Neural PDE Solvers.
Proceedings of the International Conference on Machine Learning, 2022

Message Passing Neural PDE Solvers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Geometric and Physical Quantities improve E(3) Equivariant Message Passing.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER.
Trans. Large Scale Data Knowl. Centered Syst., 2021

Learning 3D Granular Flow Simulations.
CoRR, 2021

Hopfield Networks is All You Need.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks.
Proceedings of the Geometric Science of Information - 6th International Conference, 2021

2020
Cross-Domain Few-Shot Learning by Representation Fusion.
CoRR, 2020

Hopfield Networks is All You Need.
CoRR, 2020

Modern Hopfield Networks and Attention for Immune Repertoire Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

XAI and Strategy Extraction via Reward Redistribution.
Proceedings of the xxAI - Beyond Explainable AI, 2020

2019
Using LSTMs for climate change assessment studies on droughts and floods.
CoRR, 2019

Quantum Optical Experiments Modeled by Long Short-Term Memory.
CoRR, 2019

RUDDER: Return Decomposition for Delayed Rewards.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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