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Günter Klambauer

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Principled Weight Initialisation for Input-Convex Neural Networks

Dec 19, 2023
Pieter-Jan Hoedt, Günter Klambauer

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Quantification of Uncertainty with Adversarial Models

Jul 06, 2023
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter

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Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language

Mar 06, 2023
Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer

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CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP

Oct 21, 2021
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter

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Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction

Apr 07, 2021
Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer

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MC-LSTM: Mass-Conserving LSTM

Feb 08, 2021
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer

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Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Dec 15, 2020
Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing

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Cross-Domain Few-Shot Learning by Representation Fusion

Oct 13, 2020
Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter

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Modern Hopfield Networks and Attention for Immune Repertoire Classification

Jul 16, 2020
Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlović, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

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