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 |
Zeitschriften
Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns
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 |
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 |
A note on leveraging synergy in multiple meteorological datasets with deep learning for rainfall-runoff modeling
Author(s): | Frederik Kratzert, Daniel Klotz, Sepp Hochreiter, Grey Nearing |
Published: | Hydrol. Earth Syst. Sci. Discuss., 2020 dx.doi.org/10.5194/hess-2020-221 |
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 |
On failure modes in molecule generation and optimization
Author(s): | Philipp Renz, Dries Van Rompaey, Jörg Wegner, Sepp Hochreiter, Günter Klambauera |
Published: | Drug Discovery Today, Vol. 32-33 (55-63), 2020 http://dx.doi.org/10.1016/j.ddtec.2020.09.003 |
Konferenzen
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 |
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 |
Publikationen (non-peer-reviewed)
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 |
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networksarXiv.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 |
Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory NetworkarXiv.org
Author(s): | Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter |
Published: |
Cross-Domain Few-Shot Learning by Representation FusionarXiv.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/2010.06498 |
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/ |
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 |
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 |
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 |
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 |