Markus Hofmarcher

According to our database, Markus Hofmarcher authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SITTA: A Semantic Image-Text Alignment for Image Captioning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Semantic HELM: An Interpretable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Learning to Modulate pre-trained Models in RL.

Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semantic HELM: A Human-Readable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution.

Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter

Proceedings of the International Conference on Machine Learning, 2022

A Dataset Perspective on Offline Reinforcement Learning.

Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning.

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

CoRR, 2021

2020

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

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

CoRR, 2020

XAI and Strategy Extraction via Reward Redistribution.

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

Proceedings of the xxAI - Beyond Explainable AI, 2020

2019

Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation.

Markus Hofmarcher, Thomas Unterthiner, Jose A. Arjona-Medina, Günter Klambauer, Sepp Hochreiter, Bernhard Nessler

Proceedings of the Explainable AI: Interpreting, 2019

Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.

Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter, Günter Klambauer

J. Chem. Inf. Model., 2019

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

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

CoRR, 2019

Patch Refinement - Localized 3D Object Detection.

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

CoRR, 2019

Human-level Protein Localization with Convolutional Neural Networks.

Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Estimating Collective Attention toward a Public Display.

Wolfgang Narzt, Otto Weichselbaum, Gustav Pomberger, Markus Hofmarcher, Michael Strauss, Peter Holzkorn, Roland Haring, Monika Sturm

ACM Trans. Interact. Intell. Syst., 2018