Quantum Optical Experiments Modeled by Long Short-Term Memory

Author(s):	Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter
Published:	Photonics 8(12), 535 (November 2021) https://doi.org/10.3390/photonics8120535, 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, 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, öffnet eine externe URL in einem neuen Fenster

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, Vol. 60, Issue 6, pp. 1378–1385, 2021 https://doi.org/10.1093/ejcts/ezab219, öffnet eine externe URL in einem neuen Fenster

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, öffnet eine externe URL in einem neuen Fenster

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, öffnet eine externe URL in einem neuen Fenster

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, öffnet eine externe URL in einem neuen Fenster

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, 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, Guenter Klambauer, Wolfram Hoetzenecker
Published:	Mod Pathol 34, 895–903 (2021)  https://doi.org/10.1038/s41379-020-00712-7, öffnet eine externe URL in einem neuen Fenster

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, öffnet eine externe URL in einem neuen Fenster Poster: simdl.github.io/posters/42-supp_poster.pdf, öffnet eine externe URL in einem neuen Fenster Contributed Talk: slideslive.de/38955315/learning-3d-granular-flow-simulations, öffnet eine externe URL in einem neuen Fenster

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)

Modern Hopfield Networks for Return Decomposition for Delayed Rewards

Author(s):	Michael Widrich, Markus Hofmarcher, VihangPatil, Angela Bitto-Nemling,  Sepp Hochreite
Published:	Deep RL Workshop NeurIPS 2021, 2021 PDF, öffnet eine externe URL in einem neuen Fenster

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

Author(s):	Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter
Published:	arXiv:2111.04714 https://arxiv.org/abs/2111.0471, öffnet eine externe URL in einem neuen Fenster4

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP

Author(s):	Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreite
Published:	arXiv:2110.11316, 2021 https://arxiv.org/abs/2110.11316, öffnet eine externe URL in einem neuen Fenster

Machine Learning based COVID-19 Diagnosis from Blood Tests with Robustness to Domain Shifts_medRxiv

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, öffnet eine externe URL in einem neuen Fenster

Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction_arXiv.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, öffnet eine externe URL in einem neuen Fenster

MC-LSTM: Mass-Conserving LSTM_arXiv.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, öffnet eine externe URL

Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications_arXiv.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, öffnet eine externe URL in einem neuen Fenster

immuneML: an Ecosystem for Machine Learning Analysis of Adaptive Immune Receptor Repertoires_bioRxiv.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, öffnet eine externe URL in einem neuen Fenster

Boundary Graph Neural Networks for 3D Simulations_arXiv.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, öffnet eine externe URL in einem neuen Fenster

In silico proof of principle of machine learning-based antibody design at unconstrained scale_bioXiv.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, öffnet eine externe URL in einem neuen Fenster