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Markus Hofmarcher
Titolo
Citata da
Citata da
Anno
Speeding up semantic segmentation for autonomous driving
M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ...
3522016
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
972019
Patch Refinement--Localized 3D Object Detection
J Lehner, A Mitterecker, T Adler, M Hofmarcher, B Nessler, S Hochreiter
arXiv preprint arXiv:1910.04093, 2019
692019
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
632020
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
602019
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
552022
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
402021
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
30*2021
Human-level protein localization with convolutional neural networks
E Rumetshofer, M Hofmarcher, C Röhrl, S Hochreiter, G Klambauer
International conference on learning representations, 2019
262019
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
252021
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
222022
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
142024
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
122020
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
72024
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
72023
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
72019
Semantic HELM: An Interpretable Memory for Reinforcement Learning
F Paischer, T Adler, M Hofmarcher, S Hochreiter
arXiv preprint arXiv:2306.09312, 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
32022
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
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
T Schmied, F Paischer, V Patil, M Hofmarcher, R Pascanu, S Hochreiter
arXiv preprint arXiv:2410.07071, 2024
12024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20