| Author(s): | Markus Holzleitner, Lukas Gruber, José Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter |
| Published: | Transactions on Large-Scale Data-and Knowledge-Centered Systems XLVIII, 2020, pp. 105–130, Springer, Berlin, Heidelberg |
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER
| Author(s): | Markus Holzleitner, Lukas Gruber, José Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter |
| Published: | Transactions on Large-Scale Data-and Knowledge-Centered Systems XLVIII, 2020, pp. 105–130, Springer, Berlin, Heidelberg |
Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modelling
| Author(s): | Daniel Klotz, Frederik Kratzert, Martin Gauch, Alden Keefe Sampson, Johannes Brandstetter, Günter Klambauer, Sepp Hochreiter, and Grey Nearing |
| Published: | Hydrol. Earth Syst. Sci. Discuss, 2021 http://dx.doi.org/10.5194/hess-2021-154 |
Machine learning-based risk profile classification of patients undergoing elective heart valve surgery
| Author(s): | Ulrich Bodenhofer, Bettina Haslinger-Eisterer, Alexander Minichmayer, Georg Hermanutz, Jens Meier |
| Published: | European Journal of Cardio-Thoracic Surgery, ezab219 (2021) |
Niederschlags-Abfluss-Modellierung mit Long Short-Term Memory (LSTM)
| Author(s): | Frederik Kratzert, Martin Gauch, Grey Nearing, Sepp Hochreiter, Daniel Klotz |
| Published: | Österr Wasser- und Abfallw, 2021, https://doi.org/10.1007/s00506-021-00767-z |
Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network
| Author(s): | Martin Gauch, Frederik Kratzert, Daniel Klotz, Grey Nearing, Jimmy Lin, Sepp Hochreiter |
| Published: | Hydrol. Earth Syst. Sci., 25, 2045–2062, 2021, https://doi.org/10.5194/hess-25-2045-2021 |
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., 2021 dx.doi.org/10.5194/hess-2020-221 |
The Promise of AI for DILI Prediction
| Author(s): | Andreu Vall, Yogesh Sabnis, Jiye Shi, Reiner Class, Sepp Hochreiter, Günter Klambauer |
| Published: | Frontiers in Artificial Intelligence, April, 2021. doi: 10.3389/frai.2021.638410 |
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, Guenter Klambauer, Wolfram Hoetzenecker |
| Published: | Mod Pathol 34, 895–903 (2021) https://doi.org/10.1038/s41379-020-00712-7 |
Learning 3D Granular Flow Simulations
| Author(s): | Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter |
| Published: | Accepted at Deep Learning for Simulation (SimDL) Workshop @ ICLR 2021 (online), arxiv.org/abs/2105.01636 Poster: simdl.github.io/posters/42-supp_poster.pdf Contributed Talk: slideslive.de/38955315/learning-3d-granular-flow-simulations |
Benchmarking recent Deep Learning methods on the extended Tox21 data set
| Author(s): | Philipp Seidl, Christina Halmich, Andreas Mayr, Andreu Vall, Peter Ruch, Sepp Hochreiter, Günter Klambauer |
| Published: | 19th International Workshop on (Q)SAR in Environmental and Health Sciences (QSAR2021), Poster Session, June 2021, online |
Comparative assessment of interpretability methods of deep activity models for hERG
| Author(s): | Johannes Schimunek, Lukas Friedrich, Daniel Kuhn, Sepp Hochreiter, Friedrich Rippmann, Günter Klambauer |
| Published: | 19th International Workshop on (Q)SAR in Environmental and Health Sciences (QSAR2021), Poster Session, June 2021, online |
Large-scale river network modeling using Graph Neural Networks
| Author(s): | Daniel Klotz, Martin Gauch, Christoph Klingler, Grey Nearing, Sepp Hochreiter |
| Published: | Video/Presentation at EGU General Assembly 2021, April 2021 (online) |
Multi-Timescale LSTM for Rainfall–Runoff Forecasting
| Author(s): | Frederik Kratzert, Grey Nearing, Jimmy Lin, Sepp Hochreiter, Johannes Brandstetter, Daniel Klotz |
| Published: | Video/Presentation at EGU General Assembly 2021, April 2021 (online) |
Uncertainty estimation with LSTM based rainfall-runoff models
| Author(s): | Frederik Kratzert, Martin Gauch, Alden K. Sampson, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter, Grey Nearing |
| Published: | Video/Presentation at EGU General Assembly 2021, April 2021 (online) |
LamaH: Large-sample Data for Hydrology in Central Europe
| Author(s): | Christoph Klingler, Mathew Herrnegger, Frederik Kratzert, Karsten Schulz |
| Published: | Video/Presentation at EGU General Assembly 2021, April 2021 (online) |
Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain ShiftsmedRxiv
| Author(s): | Theresa Roland, Carl Böck, Thomas Tschoellitsch, Alexander Maletzky, Sepp Hochreiter, Jens Meier, Günter Klambauer |
| Published: | medRxiv, 2021 https://doi.org/10.1101/2021.04.06.21254997 |
Modern Hopfield Networks for Few- and Zero-Shot Reaction PredictionarXiv.org
| Author(s): | Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Sepp Hochreiter, Günter Klambauer |
| Published: | arXiv:2104.03279, 2021 https://arxiv.org/abs/2104.03279 |
MC-LSTM: Mass-Conserving LSTMarXiv.org
| Author(s): | Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Günter Klambauer |
| Published: | arXiv:2101.05186, 2021 https://arxiv.org/abs/2101.05186v2 |
Trusted Artificial Intelligence: Towards Certification of Machine Learning ApplicationsarXiv.org
| Author(s): | Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph Schwald, Thomas Doms, Tom Vogt, Sepp Hochreiter, Bernhard Nessler |
| Published: | arXiv:2103.16910, 2021 https://arxiv.org/abs/2103.16910v1 |
immuneML: an Ecosystem for Machine Learning Analysis of Adaptive Immune Receptor RepertoiresbioRxiv.org
| Author(s): | Milena Pavlović, 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, Sepp Hochreiter, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut 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 |
| Published: | bioRxiv, 2021 DOI: 10.1101/2021.03.08.433891 |
Boundary Graph Neural Networks for 3D SimulationsarXiv.org
| Author(s): | Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter |
| Published: | arXiv:2106.11299, 2021 https://arxiv.org/abs/2106.11299 |
In silico proof of principle of machine learning-based antibody design at unconstrained scalebioXiv.org
| Author(s): | Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, Michael Widrich, Robert Frank, Milena Pavlović, Lonneke Scheffer, Maria Chernigovskaya, Igor Snapkov, Andrei Slabodkin, Brij Bhushan Mehta, Enkelejda Miho, Fridtjof Lund-Johansen, Jan Terje Andersen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff |
| Published: | bioRxiv, 2021 doi: 10.1101/2021.07.08.451480 |