Hsa-miR-375/RASD1 signaling may predict local control in early breast cancer

Author(s):	Barbara Zellinger, Ulrich Bodenhofer, Immanuela A. Engländer, Cornelia Kronberger, Peter Strasser, Brane Grambozov, Gerd Fastner, Markus Stana, Roland Reitsamer, Karl Sotlar, Felix Sedlmayer, Franz Zehentmayr
Published:	Genes 11, 12, 1404 (2020) http://dx.doi.org/10.3390/genes11121404, öffnet eine externe URL in einem neuen Fenster

Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns

Author(s):	Susanne Kimeswenger, Philipp Tschandl, Petar Noack, Markus Hofmarcher, Elisabeth Rumetshofer, Harald Kindermann, Rene Silye, Sepp Hochreiter, Martin Kaltenbrunner, Emmanuella Guenova, Günter Klambauer, Wolfram Hoetzenecker
Published:	Modern Pathology, 2020 dx.doi.org/10.1038/s41379-020-00712-7, öffnet eine externe URL in einem neuen Fenster

Industry-scale application and evaluation of deep learning for drug target prediction

Author(s):	Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir Chupakhin, Hugo Ceulemans, Joerg Wegner, Jose-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
Published:	J Cheminform 12, 26, 2020 https://doi.org/10.1186/s13321-020-00428-5, öffnet eine externe URL in einem neuen Fenster

Machine learning–based prediction of transfusion

Author(s):	Andreas Mitterecker, Axel Hofmann, Kevin Trentino, Adam Lloyd, Michael Leahy, Karin Schwarzbauer, Thomas Tschoellitsch, Carl Böck, Sepp Hochreiter, Jens Meier
Published:	Transfusion, 60:1977-1986, 2020 http://dx.doi.org/10.1111/trf.15935, öffnet eine externe URL in einem neuen Fenster

What Role Does Hydrological Science Play in the Age of Machine Learning?

Author(s):	Grey Nearing Frederik Kratzert, Alden Keefe Sampson, Craig S. Pelissier, Daniel Klotz, Jonathan M. Frame, Cristina Prieto, Hoshin V. Gupta
Published:	Water Resources Research, 2020 https://doi.org/10.1029/2020WR028091, öffnet eine externe URL in einem neuen Fenster

On failure modes in molecule generation and optimization

Author(s):	Philipp Renz, Dries Van Rompaey, Jörg Wegner, Sepp Hochreiter, Günter Klambauer
Published:	Drug Discovery Today, Vol. 32-33 (55-63), 2020 http://dx.doi.org/10.1016/j.ddtec.2020.09.00, öffnet eine externe URL in einem neuen Fenster3

A Deep Learning Architecture for Conservative Dynamical Systems: Application to Rainfall-Runoff Modeling

Author(s):	Grey Nearing, Frederik Kratzert, Daniel Klotz, Pieter-Jan Hoedt, Günter Klambauer, Sepp Hochreiter, Hoshin Gupta, Sella Nevo, Yossi Matias
Published:	NeurIPS Workshop: AI for Earth Sciences, Conference Neural Information Processing Systems Foundation (NeurIPS 2020), December 2020

A Machine Learner’s Guide to Streamflow Prediction

Author(s):	Martin Gauch, Daniel Klotz, Frederik Kratzert, Grey Nearing, Sepp Hochreiter, Jimmy Lin
Published:	NeurIPS Workshop: AI for Earth Sciences, Conference Neural Information Processing Systems Foundation (NeurIPS 2020), December 2020

Modern Hopfield Networks and Attention for Immune Repertoire Classification

Author(s):	Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
Published:	Neural Information Processing Systems Foundation (NeurIPS 2020), December 2020

Examining the uncertainty estimation properties of LSTM based rainfall-runoff models

Author(s):	Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Sepp Hochreiter, Grey Stephen Nearing
Published:	AGU Fall Meeting 2020, 1-17 December, 2020

LSTM-Based Rainfall–Runoff Modeling at Arbitrary Time Scales

Author(s):	Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Stephen Nearing, Jimmy Lin
Published:	AGU Fall Meeting 2020, 1-17 December, 2020

What is the role of hydrological science in the age of machine learning?

Author(s):	Grey Stephen Nearing, Frederik Kratzert, Alden Keefe Sampson, Craig Pelissier, Daniel Klotz, Cristina Prieto, Jonathan M Frame, Hoshin Gupta
Published:	AGU Fall Meeting 2020, 1-17 December, 2020

Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning

Author(s):	Lorenzo Servadei, Jiapeng Zheng, Jose Arjona Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
Published:	Workshop on Machine Learning for CAD (MLCAD), 2020

Learning from mistakes: Online updating for deep learning models

Author(s):	Daniel Klotz, Frederik Kratzert, Alden K. Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
Published:	EGU General Assembly 2020, Online, 4–8 May 2020 https://doi.org/10.5194/egusphere-egu2020-8853, öffnet eine externe URL in einem neuen Fenster

The performance of LSTM models from basin to continental scales

Author(s):	Frederik Kratzert, Daniel Klotz, Günter Klambauer, Grey Nearing, Sepp Hochreiter
Published:	EGU General Assembly 2020, Online, 4–8 May 2020 https://doi.org/10.5194/egusphere-egu2020-8855, öffnet eine externe URL in einem neuen Fenster

Towards deep learning based flood forecasting for ungauged basins

Author(s):	Frederik Kratzert, Daniel Klotz, Günter Klambauer, Grey Nearing, Sepp Hochreiter
Published:	EGU General Assembly 2020, Online, 4–8 May 2020 https://doi.org/10.5194/egusphere-egu2020-8932, öffnet eine externe URL in einem neuen Fenster

DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning _bioRxiv.org

Author(s):	Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Geir Kjetil Sandve, Sepp Hochreiter, Victor Greiff, Günter Klambauer
Published:	bioRxiv, Cold Spring Harbor Laboratory, 2020 https://www.biorxiv.org/content/10.1101/2020.04.12.038158v1, öffnet eine externe URL in einem neuen Fenster

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks_arXiv.org

Author(s):	Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
Published:	arXiv:2004.00979, 2020 https://arxiv.org/abs/2004.00979, öffnet eine externe URL in einem neuen Fenster

Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network_arXiv.org

Author(s):	Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter
Published:	https://arxiv.org/abs/2010.07921, öffnet eine externe URL in einem neuen Fenster, 2020

Cross-Domain Few-Shot Learning by Representation Fusion_arXiv.org

Author(s):	Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
Published:	arXiv:2010.06498, 2020 https://arxiv.org/abs/2010.0649, öffnet eine externe URL in einem neuen Fenster8

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Author(s):	Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden K. Sampson, Günter Klambauer, Sepp Hochreiter, Grey Nearing
Published:	EarthArXiv, 2020 https://eartharxiv.org/repository/view/1897/, öffnet eine externe URL in einem neuen Fenster

Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER

Author(s):	Markus Holzleitner,Lukas Gruber, Jose Arjona Medina, Johannes Brandstetter, Sepp Hochreiter
Published:	arXiv, 2020 https://arxiv.org/abs/2012.01399, öffnet eine externe URL in einem neuen Fenster

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

Author(s):	Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose Arjona Medina,Sepp Hochreiter
Published:	arXiv, 2020 https://arxiv.org/abs/2009.14108, öffnet eine externe URL in einem neuen Fenster

Hopfield Networks is All You Need

Author(s):	Hubert Ramsauer,Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Thomas Adler, Lukas Gruber, Markus Holzleitner, Milena Pavlovic, Geir Kjetil Sandve, Victor Greiff, David Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Dr. Sepp Hochreiter
Published:	arXiv, 2020 https://arxiv.org/abs/2008.02217, öffnet eine externe URL in einem neuen Fenster

Modern Hopfield Networks and Attention for Immune Repertoire Classification

Author(s):	Michael Widrich, Bernhard Schäfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
Published:	arXiv, 2020 https://arxiv.org/abs/2007.13505, öffnet eine externe URL in einem neuen Fenster