Günter Klambauer

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Venues

Universität Linz (PHD)

Education History

Universität Linz

PHD

Publications

Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. Tiny Papers @ ICLR (2024)
Florian Sestak, Lisa Schneckenreiter, Johannes Brandstetter, Sepp Hochreiter, Andreas Mayr, Günter Klambauer
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification. CoRR (2024)
Emma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, Günter Klambauer
HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions. J. Chem. Inf. Model. 64 (7) (2024)
Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
xLSTM: Extended Long Short-Term Memory. CoRR (2024)
Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks. CoRR (2024)
Pieter-Jan Hoedt, Günter Klambauer
Principled Weight Initialisation for Input-Convex Neural Networks. NeurIPS (2023)
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
Quantification of Uncertainty with Adversarial Models. NeurIPS (2023)
Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. CoRR (2023)
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Context-enriched molecule representations improve few-shot drug discovery. ICLR (2023)
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
Quantification of Uncertainty with Adversarial Models. CoRR (2023)
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Context-enriched molecule representations improve few-shot drug discovery. CoRR (2023)
Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. ICML (2023)
Pieter-Jan Hoedt, Günter Klambauer
Principled Weight Initialisation for Input-Convex Neural Networks. CoRR (2023)
Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Marwin H. S. Segler, Sepp Hochreiter, Günter Klambauer
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks. J. Chem. Inf. Model. 62 (9) (2022)
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
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. Nat. Comput. Sci. 2 (12) (2022)
Theresa Roland, Carl Böck, Thomas Tschoellitsch, Alexander Maletzky, Sepp Hochreiter, Jens Meier, Günter Klambauer
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests. J. Medical Syst. 46 (5) (2022)
Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet T. Tran, Fei Tang, Hubert Ramsauer, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto, Sepp Hochreiter
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. NeurIPS (2022)
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
MC-LSTM: Mass-Conserving LSTM. ICML (2021)
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer
MC-LSTM: Mass-Conserving LSTM. CoRR (2021)
Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction. CoRR (2021)
Rocío Mercado, Tobias Rastemo, Edvard Lindelöf, Günter Klambauer, Ola Engkvist, Hongming Chen, Esben Jannik Bjerrum
Graph networks for molecular design. Mach. Learn. Sci. Technol. 2 (2) (2021)
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
Hopfield Networks is All You Need. ICLR (2021)
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 M. Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nat. Mach. Intell. 3 (11) (2021)
Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, Günter Klambauer
The Promise of AI for DILI Prediction. Frontiers Artif. Intell. 4 (2021)
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David P. Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP. CoRR (2021)
Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling. CoRR (2020)
Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR (2020)
Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
Modern Hopfield Networks and Attention for Immune Repertoire Classification. NeurIPS (2020)
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
Hopfield Networks is All You Need. CoRR (2020)
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
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12 (1) (2020)
Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David P. Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
Cross-Domain Few-Shot Learning by Representation Fusion. CoRR (2020)
Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlovic, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
Modern Hopfield Networks and Attention for Immune Repertoire Classification. CoRR (2020)
Noé Sturm, Jiangming Sun, Yves Vandriessche, Andreas Mayr, Günter Klambauer, Lars Carlsson, Ola Engkvist, Hongming Chen
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models. J. Chem. Inf. Model. 59 (3) (2019)
Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter, Günter Klambauer
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. J. Chem. Inf. Model. 59 (3) (2019)
Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
Interpretable Deep Learning in Drug Discovery. CoRR (2019)
Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. CoRR (2019)
Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
NeuralHydrology - Interpreting LSTMs in Hydrology. CoRR (2019)
Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling. CoRR (2019)
Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
Human-level Protein Localization with Convolutional Neural Networks. ICLR (Poster) (2019)
Günter Klambauer, Sepp Hochreiter, Matthias Rarey
Machine Learning in Drug Discovery. J. Chem. Inf. Model. 59 (3) (2019)
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
Fréchet ChemblNet Distance: A metric for generative models for molecules. CoRR (2018)
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Günter Klambauer
Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery. J. Chem. Inf. Model. 58 (9) (2018)
Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning. Bioinform. 34 (9) (2018)
Sepp Hochreiter, Günter Klambauer, Matthias Rarey
Machine Learning in Drug Discovery. J. Chem. Inf. Model. 58 (9) (2018)
Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. ICLR (Poster) (2018)
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Self-Normalizing Neural Networks. CoRR (2017)
Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. CoRR (2017)
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Self-Normalizing Neural Networks. NIPS (2017)
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium. CoRR (2017)
Thomas Unterthiner, Andreas Mayr, Günter Klambauer, Sepp Hochreiter
Toxicity Prediction using Deep Learning. CoRR (2015)
Günter Klambauer, Martin Wischenbart, Michael Mahr, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map. Bioinform. 31 (20) (2015)
Günter Klambauer
Techniken des maschinellen Lernens zur Analyse von Hochdurchsatz-DNA- und RNA-Sequenzierungsdaten. Ausgezeichnete Informatikdissertationen (2014)
Tor Johan Mikael Karlsson, Óscar Torreño Tirado, Daniel Ramet Barea, Günter Klambauer, Miriam Cano Castillo, Oswaldo Trelles
Enabling Large-Scale Bioinformatics Data Analysis with Cloud Computing. ISPA (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Günter Klambauer