Johannes Brandstetter
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
3
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Vision-LSTM: xLSTM as Generic Vision Backbone. | Benedikt Alkin, Maximilian Beck, Korbinian Pppel, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | ICLR | MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations. | Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | ICLR | 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, Gnter Klambauer |
| 2025 | ICML | Geometry-Informed Neural Networks. | Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | ICML | A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. | Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pppel, Johannes Brandstetter, Gnter Klambauer, Razvan Pascanu, Sepp Hochreiter |
| 2024 | ICLR | GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. | Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Gnter Klambauer, Andreas Mayr |
| 2024 | ICML | Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics. | Artur P. Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter |
| 2024 | ICML | Clifford-Steerable Convolutional Neural Networks. | Maksim Zhdanov, David Ruhe, Maurice Weiler, Ana Lucic, Johannes Brandstetter, Patrick Forr |
| 2023 | AAAI | Boundary Graph Neural Networks for 3D Simulations. | Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter |
| 2023 | ICLR | Clifford Neural Layers for PDE Modeling. | Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta |
| 2023 | ICML | ClimaX: A foundation model for weather and climate. | Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover |
| 2023 | ICML | Geometric Clifford Algebra Networks. | David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter |
| 2022 | ICLR | Geometric and Physical Quantities improve E(3) Equivariant Message Passing. | Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J. Bekkers, Max Welling |
| 2022 | ICLR | Message Passing Neural PDE Solvers. | Johannes Brandstetter, Daniel E. Worrall, Max Welling |
| 2022 | ICML | Lie Point Symmetry Data Augmentation for Neural PDE Solvers. | Johannes Brandstetter, Max Welling, Daniel E. Worrall |
| 2022 | ICML | Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. | Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jos Antonio Arjona-Medina, Sepp Hochreiter |
| 2021 | ICLR | Hopfield Networks is All You Need. | Hubert Ramsauer, Bernhard Schfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Gnter Klambauer, Johannes Brandstetter, Sepp Hochreiter |
| 2020 | ICML | XAI and Strategy Extraction via Reward Redistribution. | Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter |