Klambauer, Günter

32 publications

ICML 2025 A Large Recurrent Action Model: xLSTM Enables Fast Inference for Robotics Tasks Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter

ICLR 2025 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, Günter Klambauer

NeurIPS 2025 LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter

ICLRW 2025 LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter

ICLRW 2025 Ligand-Conditioned Binding Site Prediction Using Contrastive Geometric Learning Lisa Schneckenreiter, Sohvi Luukkonen, Lukas Friedrich, Daniel Kuhn, Günter Klambauer

NeurIPS 2025 TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, Sepp Hochreiter

ICLRW 2025 UPT++: Latent Point Set Neural Operators for Modeling System State Transitions Andreas Fürst, Florian Sestak, Artur P. Toshev, Benedikt Alkin, Nikolaus A. Adams, Andreas Mayr, Günter Klambauer, Johannes Brandstetter

ICML 2025 xLSTM 7b: A Recurrent LLM for Fast and Efficient Inference Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter

ICLRW 2025 xLSTM 7b: A Recurrent LLM for Fast and Efficient Inference Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter

NeurIPSW 2024 A Large Recurrent Action Model: xLSTM Enables Fast Inference for Robotics Tasks Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter

ICLRW 2024 Autoregressive Activity Prediction for Low-Data Drug Discovery Johannes Schimunek, Lukas Friedrich, Daniel Kuhn, Günter Klambauer

NeurIPSW 2024 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, Günter Klambauer

ICLRW 2024 Diverse Hits in De Novo Molecule Design: A Diversity-Based Comparison of Goal-Directed Generators Philipp Renz, Sohvi Luukkonen, Günter Klambauer

ICLRW 2024 GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr

ICML 2024 Incorporating Probabilistic Domain Knowledge into Deep Multiple Instance Learning Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri, Milena Pavlovic, Knut Dagestad Rand, Michael Widrich, Anne Schistad Solberg, Victor Greiff, Johan Pensar, Günter Klambauer, Geir Kjetil Sandve

NeurIPS 2024 xLSTM: Extended Long Short-Term Memory Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

ICMLW 2024 xLSTM: Extended Long Short-Term Memory Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

ICMLW 2024 xLSTM: Extended Long Short-Term Memory Korbinian Pöppel, Maximilian Beck, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

ICLR 2023 Context-Enriched Molecule Representations Improve Few-Shot Drug Discovery Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer

ICML 2023 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer

NeurIPS 2023 Principled Weight Initialisation for Input-Convex Neural Networks Pieter-Jan Hoedt, Günter Klambauer

NeurIPS 2023 Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter

NeurIPSW 2023 VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification Florian Sestak, Lisa Schneckenreiter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer

NeurIPSW 2023 VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification Florian Sestak, Lisa Schneckenreiter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer

NeurIPS 2022 CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter

ICLRW 2022 Contrastive Learning of Image- and Structure-Based Representations in Drug Discovery Ana Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, Günter Klambauer

NeurIPSW 2022 Robust Task-Specific Adaption of Models for Drug-Target Interaction Prediction Emma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, Günter Klambauer

ICLR 2021 Hopfield Networks Is All You Need Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter

NeurIPS 2020 Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich, Bernhard Schäfl, Milena Pavlović, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

ICLR 2019 Human-Level Protein Localization with Convolutional Neural Networks Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer

ICLR 2018 Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter

NeurIPS 2017 Self-Normalizing Neural Networks Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter