Markus Hofmarcher

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Microscopy Images

Reinforcement Learning

Convolutional Network

Geometric Invariants

Top Venues

J. Chem. Inf. Model.

Publications

Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter
Large Language Models Can Self-Improve At Web Agent Tasks. CoRR (2024)
Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
Learning to Modulate pre-trained Models in RL. CoRR (2023)
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
SITTA: A Semantic Image-Text Alignment for Image Captioning. CoRR (2023)
Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
Learning to Modulate pre-trained Models in RL. NeurIPS (2023)
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
Semantic HELM: A Human-Readable Memory for Reinforcement Learning. NeurIPS (2023)
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
Semantic HELM: An Interpretable Memory for Reinforcement Learning. CoRR (2023)
Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
A Dataset Perspective on Offline Reinforcement Learning. CoLLAs (2022)
Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. ICML (2022)
Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang P. Patil, Sepp Hochreiter
Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. CoRR (2021)
Marius-Constantin Dinu, Markus Hofmarcher, Vihang P. Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML (2020)
Markus Hofmarcher, Andreas Mayr, Elisabeth Rumetshofer, Peter Ruch, Philipp Renz, Johannes Schimunek, Philipp Seidl, Andreu Vall, Michael Widrich, Sepp Hochreiter, Günter Klambauer
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. CoRR (2020)
Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR (2020)
Markus Hofmarcher, Elisabeth Rumetshofer, Djork-Arné Clevert, Sepp Hochreiter, Günter Klambauer
Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. J. Chem. Inf. Model. 59 (3) (2019)
Susanne Kimeswenger, Elisabeth Rumetshofer, Markus Hofmarcher, Philipp Tschandl, Harald Kittler, Sepp Hochreiter, Wolfram Hötzenecker, Günter Klambauer
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. CoRR (2019)
Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
Human-level Protein Localization with Convolutional Neural Networks. ICLR (Poster) (2019)
Johannes Lehner, Andreas Mitterecker, Thomas Adler, Markus Hofmarcher, Bernhard Nessler, Sepp Hochreiter
Patch Refinement - Localized 3D Object Detection. CoRR (2019)
Wolfgang Narzt, Otto Weichselbaum, Gustav Pomberger, Markus Hofmarcher, Michael Strauss, Peter Holzkorn, Roland Haring, Monika Sturm
Estimating Collective Attention toward a Public Display. ACM Trans. Interact. Intell. Syst. 8 (3) (2018)