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Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning


Nov 08, 2021
Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter

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* Code: https://github.com/ml-jku/OfflineRL 

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Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution


Sep 29, 2020
Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter

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Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks


Apr 03, 2020
Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer

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* Additional results added. Various corrections to formulations and typos 

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


Dec 02, 2019
Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer

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* Machine Learning for Health (ML4H) at NeurIPS 2019 

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Patch Refinement -- Localized 3D Object Detection


Oct 09, 2019
Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter

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* Machine Learning for Autonomous Driving Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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