Günter Klambauer

78 papers A* 13C 1Journal 53Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design. CoRR Lisa Schneckenreiter, Sohvi Luukkonen, Lukas Friedrich, Daniel Kuhn, Günter Klambauer
2026	J	`jnl`	Effective Distillation to Hybrid xLSTM Architectures. CoRR Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied, Anamaria-Roberta Hartl, David Stap, Pieter-Jan Hoedt, Maximilian Beck, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
2026	J	`jnl`	MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs. CoRR Christoph Bartmann, Johannes Schimunek, Mykyta Ielanskyi, Philipp Seidl, Günter Klambauer, Sohvi Luukkonen
2026	J	`jnl`	Symbol-Equivariant Recurrent Reasoning Models. CoRR Richard Freinschlag, Timo Bertram, Erich Kobler, Andreas Mayr, Günter Klambauer
2026	J	`jnl`	VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. J. Cheminformatics Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
2025	A*	`conf`	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. ICML Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter
2025	—	`conf`	Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing. ISBI Emese Sükei, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic
2025	J	`jnl`	Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data. CoRR Robert Frank, Michael Widrich, Rahmad Akbar, Günter Klambauer, Geir Kjetil Sandve, Philippe A. Robert, Victor Greiff
2025	A*	`conf`	Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. ICLR Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
2025	J	`jnl`	LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities. CoRR Florian Sestak, Artur P. Toshev, Andreas Fürst, Günter Klambauer, Andreas Mayr, Johannes Brandstetter
2025	J	`jnl`	MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery. J. Chem. Inf. Model. Johannes Schimunek, Sohvi Luukkonen, Günter Klambauer
2025	J	`jnl`	Measuring AI Progress in Drug Discovery: A Reproducible Leaderboard for the Tox21 Challenge. CoRR Antonia Ebner, Christoph Bartmann, Sonja Topf, Sohvi Luukkonen, Johannes Schimunek, Günter Klambauer
2025	J	`jnl`	TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning. CoRR Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, Sepp Hochreiter
2025	A*	`conf`	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. ICML Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter
2025	J	`jnl`	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. CoRR Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter
2024	J	`jnl`	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. CoRR Thomas Schmied, Thomas Adler, Vihang Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter
2024	J	`jnl`	Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. CoRR Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Günter Klambauer
2024	J	`jnl`	Diverse Hits in De Novo Molecule Design: Diversity-Based Comparison of Goal-Directed Generators. J. Chem. Inf. Model. Philipp Renz, Sohvi Luukkonen, Günter Klambauer
2024	—	`conf`	GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. Tiny Papers @ ICLR Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr
2024	J	`jnl`	GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. CoRR Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr
2024	J	`jnl`	HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions. J. Chem. Inf. Model. Emma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, Günter Klambauer
2024	—	`conf`	Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging. ISBI Emese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, Andreas Mayr, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic
2024	A*	`conf`	Incorporating probabilistic domain knowledge into deep multiple instance learning. ICML Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri, Milena Pavlovic, Knut Dagestad Rand, Michael Widrich, Anne H. Schistad Solberg, Victor Greiff, Johan Pensar, Günter Klambauer, Geir Kjetil Sandve
2024	J	`jnl`	VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. CoRR Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
2024	A*	`conf`	xLSTM: Extended Long Short-Term Memory. NeurIPS Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2024	J	`jnl`	xLSTM: Extended Long Short-Term Memory. CoRR Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2023	A*	`conf`	Context-enriched molecule representations improve few-shot drug discovery. ICLR Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
2023	J	`jnl`	Context-enriched molecule representations improve few-shot drug discovery. CoRR Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
2023	A*	`conf`	Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. ICML Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
2023	J	`jnl`	Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. CoRR Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
2023	A*	`conf`	Principled Weight Initialisation for Input-Convex Neural Networks. NeurIPS Pieter-Jan Hoedt, Günter Klambauer
2023	J	`jnl`	Principled Weight Initialisation for Input-Convex Neural Networks. CoRR Pieter-Jan Hoedt, Günter Klambauer
2023	A*	`conf`	Quantification of Uncertainty with Adversarial Models. NeurIPS Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
2023	J	`jnl`	Quantification of Uncertainty with Adversarial Models. CoRR Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
2022	A*	`conf`	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. NeurIPS Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter
2022	J	`jnl`	Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests. J. Medical Syst. Theresa Roland, Carl Böck, Thomas Tschoellitsch, Alexander Maletzky, Sepp Hochreiter, Jens Meier, Günter Klambauer
2022	J	`jnl`	Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. J. Chem. Inf. Model. Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Marwin H. S. Segler, Sepp Hochreiter, Günter Klambauer
2022	J	`jnl`	Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. Nat. Comput. Sci. Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlovic, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Truslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff
2021	J	`jnl`	CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. CoRR Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
2021	J	`jnl`	Graph networks for molecular design. Mach. Learn. Sci. Technol. Rocío Mercado, Tobias Rastemo, Edvard Lindelöf, Günter Klambauer, Ola Engkvist, Hongming Chen, Esben Jannik Bjerrum
2021	A*	`conf`	Hopfield Networks is All You Need. ICLR Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2021	A*	`conf`	MC-LSTM: Mass-Conserving LSTM. ICML Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	MC-LSTM: Mass-Conserving LSTM. CoRR Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. CoRR Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	The Promise of AI for DILI Prediction. Frontiers Artif. Intell. Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, Günter Klambauer
2021	J	`jnl`	The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nat. Mach. Intell. Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig Magne Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve
2020	J	`jnl`	Cross-Domain Few-Shot Learning by Representation Fusion. CoRR Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
2020	J	`jnl`	Hopfield Networks is All You Need. CoRR Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David P. Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
2020	J	`jnl`	Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen
2020	J	`jnl`	Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
2020	A*	`conf`	Modern Hopfield Networks and Attention for Immune Repertoire Classification. NeurIPS Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
2020	J	`jnl`	Modern Hopfield Networks and Attention for Immune Repertoire Classification. CoRR Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlovic, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
2020	J	`jnl`	Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. CoRR Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2019	J	`jnl`	Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. J. Chem. Inf. Model. Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter, Günter Klambauer
2019	J	`jnl`	Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models. J. Chem. Inf. Model. Noé Sturm, Jiangming Sun, Yves Vandriessche, Andreas Mayr, Günter Klambauer, Lars Carlsson, Ola Engkvist, Hongming Chen
2019	J	`jnl`	Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. CoRR Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
2019	J	`jnl`	Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. CoRR Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer
2019	—	`conf`	Human-level Protein Localization with Convolutional Neural Networks. ICLR (Poster) Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
2019	J	`jnl`	Interpretable Deep Learning in Drug Discovery. CoRR Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019	—	`ch.`	Interpretable Deep Learning in Drug Discovery. Explainable AI Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
2019	J	`jnl`	Machine Learning in Drug Discovery. J. Chem. Inf. Model. Günter Klambauer, Sepp Hochreiter, Matthias Rarey
2019	J	`jnl`	NeuralHydrology - Interpreting LSTMs in Hydrology. CoRR Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
2019	—	`ch.`	NeuralHydrology - Interpreting LSTMs in Hydrology. Explainable AI Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
2019	—	`ch.`	Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation. Explainable AI Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler
2018	—	`conf`	Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. ICLR (Poster) Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
2018	J	`jnl`	DeepSynergy: predicting anti-cancer drug synergy with Deep Learning. Bioinform. Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
2018	J	`jnl`	Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. J. Chem. Inf. Model. Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
2018	J	`jnl`	Fréchet ChemblNet Distance: A metric for generative models for molecules. CoRR Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
2018	J	`jnl`	Machine Learning in Drug Discovery. J. Chem. Inf. Model. Sepp Hochreiter, Günter Klambauer, Matthias Rarey
2017	J	`jnl`	Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. CoRR Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
2017	J	`jnl`	GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium. CoRR Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
2017	—	`conf`	Self-Normalizing Neural Networks. NIPS Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2017	J	`jnl`	Self-Normalizing Neural Networks. CoRR Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2015	J	`jnl`	Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map. Bioinform. Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
2015	J	`jnl`	Toxicity Prediction using Deep Learning. CoRR Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter
2014	—	`—`	Machine Learning Techniques for the Analysis of High-Throughput DNA and RNA Sequencing Data. Günter Klambauer
2014	—	`ch.`	Techniken des maschinellen Lernens zur Analyse von Hochdurchsatz-DNA- und RNA-Sequenzierungsdaten. Ausgezeichnete Informatikdissertationen Günter Klambauer
2012	C	`conf`	Enabling Large-Scale Bioinformatics Data Analysis with Cloud Computing. ISPA Tor Johan Mikael Karlsson, Óscar Torreño Tirado, Daniel Ramet Barea, Günter Klambauer, Miriam Cano Castillo, Oswaldo Trelles