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Markus Hofmarcher

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SITTA: A Semantic Image-Text Alignment for Image Captioning

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Jul 10, 2023
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

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Learning to Modulate pre-trained Models in RL

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Jun 26, 2023
Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

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Semantic HELM: An Interpretable Memory for Reinforcement Learning

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Jun 15, 2023
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

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Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning

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

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Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

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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

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

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

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Patch Refinement -- Localized 3D Object Detection

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

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