Towards learning universal, regional, and local hydrologicalbehaviors via machine learning applied tolarge-sample data

Author(s):	Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, Grey Nearing
Published:	Hydrol. Earth Syst. Sci., 23, 5089–5110, 2019 https://doi.org/10.5194/hess-23-5089-2019, opens an external URL in a new window

Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning

Author(s):	Frederik Kratzert , Daniel Klotz , Mathew Herrnegger, Alden K. Sampson, Sepp Hochreiter, and Grey S. Nearing
Published:	Water Resources Research (2019) 55(12) https://doi.org/10.1029/2019WR026065, opens an external URL in a new window

Machine Learning in Drug Discovery

Author(s):	Günter Klambauer, Sepp Hochreiter, Matthias Rarey
Published:	J. Chem. Inf. Model. 2019, 59, 945−946   doi.org/10.1021/acs.jcim.9b00136, opens an external URL in a new window

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Author(s):	AstraZeneca-Sanger Drug Combination DREAM Consortium (Sepp Hochreiter, Günter Klambauer, Kristina Preuer
Published:	Nature Communications (2019) 10:2674 doi.org/10.1038/s41467-019-09799-2, opens an external URL in a new window

On the Convergence of Episodic Reinforcement Learning Algorithms at the Example of RUDDER

Author(s):	Markus Holzleitner, Jose A. Arjona-Medina, Marius-Constantin Dinu, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

A Two Time-Scale Update Rule Ensuring Convergence of Episodic Reinforcement Learning Algorithms at the Example of RUDDER

Author(s):	Markus Holzleitner, Jose A. Arjona-Medina, Marius-Constantin Dinu, Andreu Vall, Lukas Gruber, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

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:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

A GAN based solver idea for derivative-free optimization problems

Author(s):	Hubert Ramsauer, Johannes Brandstetter, Michael Gillhofer, Bernhard Schäfl, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

A GAN based solver of black-box inverse problems

Author(s):	Michael Gillhofer, Hubert Ramsauer, Johannes Brandstetter, Bernhard Schäfl, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

Uncertainty Estimation Methods to Support Decision-Making in Early Phases of Drug Discovery

Author(s):	Philipp Renz, Thomas Adler, Sepp Hochreiter, Günter Klambauer
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

Patch Refinement: Localized 3D Object Detection

Author(s):	Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter
Published:	Machine Learning for Autonomous Driving Workshop at the Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada https://arxiv.org/abs/1910.04093, opens an external URL in a new window

LSTM-Designed Quantum Experiments

Author(s):	Thomas Adler, Manuel Erhard, Mario Krenn, Johannes Brandstetter, Johannes Kofler, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

Using LSTMs for climate change assessment studies on droughts and floods

Author(s):	Frederik Kratzert, Daniel Klotz, Johannes Brandstetter, Pieter-Jan Hoedt, Grey Nearing, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

RUDDER: Return Decomposition for Delayed Rewards

Author(s):	José Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada

Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images

Author(s):	Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambaue
Published:	Machine Learning for Health Workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada https://arxiv.org/abs/1911.06616, opens an external URL in a new window

Human-level Protein Localization with Convolutional Neural Networks _ICLR

Author(s):	Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
Published:	International Conference on Learning Representations (ICLR 2019), May 6-9, 2019, New Orleans, US

Towards the quantification of uncertainty for deep learning based rainfall-runoff models _EGU

Author(s):	Daniel Klotz, Frederik Kratzert, Mathew Herrnegger, Sepp Hochreiter, and Günter Klambauer
Published:	Poster at EGU General Assembly 2019, April 7-12, 2019, Vienna, Austria

Using large data sets towards generating a catchment aware hydrological model for global applications _EGU
 

Author(s):	Frederik Kratzert, Daniel Klotz, Mathew Herrnegger, Sepp Hochreiter, and Günter Klambauer
Published:	Poster at EGU General Assembly 2019, April 7-12, 2019, Vienna, Austria

Explaining and Interpreting LSTMs _{Explainable AI: Interpreting, Explaining and Visualizing Deep Learning}

Author(s):	Leila Arras, José Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
Editor(s):	Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
Published:	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019, Part III, pp. 211-238, doi: 10.1007/978-3-030-28954-6, opens an external URL in a new window

Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation _{Explainable AI: Interpreting, Explaining and Visualizing Deep Learning}

Author(s):	Markus Hofmarcher, Thomas Unterthiner, José Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler
Editor(s):	Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
Published:	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019, Part V, pp. 285-296, doi: 10.1007/978-3-030-28954-6, opens an external URL in a new window

Interpretable Deep Learning in Drug Discovery _{Explainable AI: Interpreting, Explaining and Visualizing Deep Learning}

Author(s):	Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter, Thomas Unterthiner
Editor(s):	Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
Published:	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019, Part V, pp. 331-345, doi: 10.1007/978-3-030-28954-6, opens an external URL in a new window

NeuralHydrology – Interpreting LSTMs in Hydrology _{Explainable AI: Interpreting, Explaining and Visualizing Deep Learning}

Author(s):	Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter, Günter Klambauer
Editor(s):	Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
Published:	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019, Part V, pp. 347-362, doi: 10.1007/978-3-030-28954-6, opens an external URL in a new window