Seguir
Markus Hofmarcher
Markus Hofmarcher
Institute for Machine Learning, Johannes Kepler University Linz
Dirección de correo verificada de ml.jku.at
Título
Citado por
Citado por
Año
Speeding up semantic segmentation for autonomous driving
M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ...
3372016
Accurate prediction of biological assays with high-throughput microscopy images and convolutional networks
M Hofmarcher, E Rumetshofer, DA Clevert, S Hochreiter, G Klambauer
Journal of chemical information and modeling 59 (3), 1163-1171, 2019
852019
Patch Refinement--Localized 3D Object Detection
J Lehner, A Mitterecker, T Adler, M Hofmarcher, B Nessler, S Hochreiter
arXiv preprint arXiv:1910.04093, 2019
682019
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ...
Available at SSRN 3561442, 2020
622020
Visual scene understanding for autonomous driving using semantic segmentation
M Hofmarcher, T Unterthiner, J Arjona-Medina, G Klambauer, ...
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 285-296, 2019
552019
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
VP Patil, M Hofmarcher, MC Dinu, M Dorfer, PM Blies, J Brandstetter, ...
Proceedings of the 39th International Conference on Machine Learning 162 …, 2022
452022
Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns
S Kimeswenger, P Tschandl, P Noack, M Hofmarcher, E Rumetshofer, ...
Modern Pathology 34 (5), 895-903, 2021
362021
Human-level protein localization with convolutional neural networks
E Rumetshofer, M Hofmarcher, C Röhrl, S Hochreiter, G Klambauer
International conference on learning representations, 2019
242019
Modern Hopfield Networks for Return Decomposition for Delayed Rewards
M Widrich, M Hofmarcher, VP Patil, A Bitto-Nemling, S Hochreiter
Deep RL Workshop NeurIPS 2021, 2021
212021
Understanding the effects of dataset characteristics on offline reinforcement learning
K Schweighofer, M Hofmarcher, MC Dinu, P Renz, A Bitto-Nemling, ...
Deep RL Workshop NeurIPS 2021, 2021
19*2021
A Dataset Perspective on Offline Reinforcement Learning
K Schweighofer, M Dinu, A Radler, M Hofmarcher, VP Patil, ...
Conference on Lifelong Learning Agents, 470-517, 2022
102022
XAI and Strategy Extraction via Reward Redistribution
MC Dinu, M Hofmarcher, VP Patil, M Dorfer, PM Blies, J Brandstetter, ...
International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020
82020
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images
S Kimeswenger, E Rumetshofer, M Hofmarcher, P Tschandl, H Kittler, ...
arXiv preprint arXiv:1911.06616, 2019
52019
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
F Paischer, T Adler, M Hofmarcher, S Hochreiter
Advances in Neural Information Processing Systems 36, 2024
32024
Semantic HELM: An Interpretable Memory for Reinforcement Learning
F Paischer, T Adler, M Hofmarcher, S Hochreiter
arXiv preprint arXiv:2306.09312, 2023
32023
Learning to Modulate pre-trained Models in RL
T Schmied, M Hofmarcher, F Paischer, R Pascanu, S Hochreiter
Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023
32023
Toward Semantic History Compression for Reinforcement Learning
F Paischer, T Adler, A Radler, M Hofmarcher, S Hochreiter
Second Workshop on Language and Reinforcement Learning, 2022
22022
Estimating Collective Attention toward a Public Display
W Narzt, O Weichselbaum, G Pomberger, M Hofmarcher, M Strauss, ...
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 (3), 1-34, 2018
22018
Large Language Models Can Self-Improve At Web Agent Tasks
A Patel, M Hofmarcher, C Leoveanu-Condrei, MC Dinu, C Callison-Burch, ...
arXiv preprint arXiv:2405.20309, 2024
12024
Foundation Models for History Compression in Reinforcement Learning
F Paischer, T Adler, A Radler, M Hofmarcher, S Hochreiter
NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022
12022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20