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 |
Towards learning universal, regional, and local hydrologicalbehaviors via machine learning applied tolarge-sample datasets
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 |
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, Grey S. Nearing |
Published: | Water Resources Research (2019) 55(12) https://doi.org/10.1029/2019WR026065 |
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 |
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 |
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 |
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 |
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 |
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 Klambauer |
Published: | Machine Learning for Health Workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada |
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 |
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 |
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 |
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 |