Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities

Author(s):	Alexander Maletzky, Carl Böck, Thomas Tschoellitsch, Theresa Roland, Helga Ludwig, Stefan Thumfart, Michael Giretzlehner, Sepp Hochreiter
Published:	JMIR Med Inform, 10 (10) 2022, https://doi.org/10.2196/38557, opens an external URL in a new window

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., 26, 1673–1693, 2022 https://doi.org/10.5194/hess-26-1673-2022, opens an external URL in a new window

Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests

Author(s):	Theresa Roland, Carl Böck, Thomas Tschoellitsch, Alexander Maletzky, Sepp Hochreiter, Jens Meier, Günter Klambauer
Published:	J Med Syst. 2022 Mar 29;46(5):23 https://doi.org/10.1007/s10916-022-01807-1, opens an external URL in a new window

Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks

Author(s):	Philipp Seidl, Philipp Renz, Natalia Dyubankova, Paulo Neves, Jonas Verhoeven, Jörg K. Wegner, Marwin Segler, Sepp Hochreiter, and Günter Klambauer
Published:	J. Chem. Inf. Model. 2022, 62, 9, 2111–2120 https://doi.org/10.1021/acs.jcim.1c01065, opens an external URL in a new window

InfODist: Online distillation with Informative rewards improves generalization in Curriculum Learning

Author(s):	Rahul Siripurapu, Vihang Prakash Patil, Kajetan Schweighofer, Marius-Constantin Dinu, Thomas Schmied, Luis Eduardo Ferro Diez, Markus Holzleitner, Hamid Eghbal-zadeh, Michael K Kopp, Sepp Hochreiter
Published:	Machine Learning and the Physical Sciences workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

Foundation Models for History Compression in Reinforcement Learning

Author(s):	Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter
Published:	Machine Learning and the Physical Sciences workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

One Network to Approximate Them All: Amortized Variational Inference of Ising Ground States

Author(s):	Sebastian Sanokowski, Wilhelm Berghammer, Johannes Kofler, Sepp Hochreiter, Sebastian Lehner
Published:	Machine Learning and the Physical Sciences workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

Using Shadows to Learn Ground State Properties of Quantum Hamiltonians

Author(s):	Viet T. Tran, Laura Lewis, Hsin-Yuan Huang, Johannes Kofler, Richard Kueng, Sepp Hochreiter, Sebastian Lehner
Published:	Machine Learning and the Physical Sciences workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

CLOOME: a new search engine unlocks bioimaging databases for queries with chemical structures

Author(s):	Ana Sanchez-Fernandez, Elisabeth Rumetshofer,  Sepp Hochreiter, Günter Klambauer
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

Task-conditioned modeling of drug-target interactions

Author(s):	Emma Svensson, Pieter-Jan Hoedt, Sepp Hochreiter, Günter Klambauer
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

Modern Hopfield Networks for Iterative Learning on Tabular Data

Author(s):	Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling Sepp Hochreiter
Published:	Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

A Dataset Perspective on Offline Reinforcement Learning

Author(s):	Kajetan Schweighofer, Andreas Radler, Marius-Constantin Dinu, Markus Hofmarcher, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
Published:	Conference on Lifelong Learning Agents (CoLLAs),  August 2022, https://doi.org/10.48550/arXiv.2111.04714, opens an external URL in a new window, 2022

Mimicking Iterative Learning with Modern Hopfield Networks for Tabular Data

Author(s):	Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling, Sepp Hochreiter
Published:	Poster at 3rd Women in Machine Learning Un-Workshop, ICML 2022, July 2022

Robust  task-specific  adaption of  drug-target  interaction models

Author(s):	Emma Svensson, Pieter-Jan Hoedt, Sepp Hochroiter, Günter Klambauer
Published:	Poster at 3rd Women in Machine Learning Un-Workshop, ICML 2022, July 2022

Cross-modal contrastive learning of microscopy image and structure-based representations of molecules

Author(s):	Ana Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, Günter Klambauer
Published:	Poster at 3rd Women in Machine Learning Un-Workshop, ICML 2022, July 2022

Multi-modal Contrastive Learning with CLOOB

Author(s):	Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet Tran, Fei Tang, Hubert Ramsauer, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
Published:	Poster at 3rd Women in Machine Learning Un-Workshop, ICML 2022, July 2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space

Author(s):	Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner
Published:	Conference on Lifelong Learning Agents (CoLLAs) 2022 arXiv:2206.03483, opens an external URL in a new window

Deficiencies in Hydrological Modelling Practices

Author(s):	Klotz, D., Gauch, M., Nearing, G., Hochreiter, S., and Kratzert, F.
Published:	EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022 EGU22-12403, https://doi.org/10.5194/egusphere-egu22-12403, opens an external URL in a new window, 2022

Rate my Hydrograph: Evaluating the Conformity of Expert Judgment and Quantitative Metrics

Author(s):	Gauch, M., Kratzert, F., Mai, J., Tolson, B., Nearing, G., Gupta, H., Hochreiter, S., and Klotz, D.
Published:	EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8396, https://doi.org/10.5194/egusphere-egu22-8396, opens an external URL in a new window, 2022

Contrastive learning of image- and structure-based representations in drug discovery

Author(s):	Ana Sanchez-Fernandez, Elisabeth Rumetshofer, Sepp Hochreiter, Günter Klambauer
Published:	Machine Learning and the Physical Sciences workshop, Conference Neural Information Processing Systems Foundation (NeurIPS 2022), November 27 - December 3, 2022, New Orleans, USA

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

Author(s):	Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick Blies, Johannes Brandstetter, Jose Arjona-Medina, Sepp Hochreiter
Published:	Proceedings of the 39 th International Conference on Machine Learning, ICML 2022 PDF, opens an external URL in a new window

XAI and Strategy Extraction via Reward Redistribution

Author(s):	Marius-Constantin Dinu, Markus Hofmarcher, Vihang P. Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
Editor(s):	Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
Published:	xxAI - Beyond Explainable AI, 2022, pp. 177-206, doi: 10.1007/978-3-031-04083-2, opens an external URL in a new window

In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance

Author(s):	Martin Gauch, Frederik Kratzert, Oren Gilon, Hoshin Gupta, Juliane Mai, Grey Nearing, Bryan Tolson, Sepp Hochreiter, Daniel Klotz
Published:	eartharxiv.org, 2022 doi: 10.31223/X52938, opens an external URL in a new window

Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning

Author(s):	Christian Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
Published:	arXiv:2207.05742 https://arxiv.org/abs/2207.05742, opens an external URL in a new window

Hopular: Modern Hopfield Networks for Tabular Data

Author(s):	Bernhard Schäfl, Lukas Gruber, Angela Bitto-Nemling, Sepp Hochreiter
Published:	arXiv:2206.00664 https://arxiv.org/abs/2206.00664, opens an external URL in a new window

History Compression via Language Models in Reinforcement Learning

Author(s):	Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
Published:	arXiv:2205.12258 https://arxiv.org/abs/2205.12258, opens an external URL in a new window