| Cloob: Modern hopfield networks with infoloob outperform clip A Fürst, E Rumetshofer, J Lehner, VT Tran, F Tang, H Ramsauer, D Kreil, ... Advances in neural information processing systems 35, 20450-20468, 2022 | 122 | 2022 |
| 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 | 97 | 2019 |
| 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, ... arXiv preprint arXiv:2004.00979, 2020 | 64 | 2020 |
| CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures A Sanchez-Fernandez, E Rumetshofer, S Hochreiter, G Klambauer Nature Communications 14 (1), 7339, 2023 | 41 | 2023 |
| 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 | 41 | 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 | 28 | 2019 |
| Contrastive learning of image-and structure-based representations in drug discovery A Sanchez-Fernandez, E Rumetshofer, S Hochreiter, G Klambauer ICLR2022 Machine Learning for Drug Discovery, 2022 | 27 | 2022 |
| Contrastive tuning: A little help to make masked autoencoders forget J Lehner, B Alkin, A Fürst, E Rumetshofer, L Miklautz, S Hochreiter Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 2965-2973, 2024 | 11 | 2024 |
| 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 | 7 | 2019 |
| Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. 2020 M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ... URL: https://arxiv. org/abs/2004.00979, 2004 | 7 | 2004 |
| Contrastive abstraction for reinforcement learning V Patil, M Hofmarcher, E Rumetshofer, S Hochreiter arXiv preprint arXiv:2410.00704, 2024 | 1 | 2024 |
| Learning retinal representations from multi-modal imaging via contrastive pre-training E Sükei, E Rumetshofer, N Schmidinger, U Schmidt-Erfurth, G Klambauer, ... Medical Imaging with Deep Learning, short paper track, 2023 | 1 | 2023 |
| Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions E Sükei, E Rumetshofer, N Schmidinger, A Mayr, U Schmidt-Erfurth, ... Scientific Reports 14 (1), 26802, 2024 | | 2024 |
| Enriching AI-based Predictive Models from Retinal Imaging by Multi-Modal Contrastive Pre-training E Sükei, S Riedl, E Rumetshofer, N Schmidinger, A Mayr, ... Investigative Ophthalmology & Visual Science 65 (7), 450-450, 2024 | | 2024 |
| Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging E Sükei, E Rumetshofer, N Schmidinger, A Mayr, U Schmidt-Erfurth, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| Deep Representation Learning from Weakly Labeled Data/submitted by Elisabeth Rumetshofer E Rumetshofer | | 2023 |
| CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures G Klambauer, AS Fernandez, E Rumetshofer, S Hochreiter | | 2022 |
| Kartenannotationssystem zur barrierefreien Fußgängernavigation/eingereicht von Elisabeth Rumetshofer E Rumetshofer | | 2017 |
| Accurate Prediction of Biological Assays with High-throughput Microscopy Images and Convolutional Networks—Supporting Information— M Hofmarcher, E Rumetshofer, DA Clevert, S Hochreiter, G Klambauer | | |
| End-to-end learning of pharmacological assays from high-resolution microscopy images M Hofmarcher, E Rumetshofer, S Hochreiter, G Klambauer | | |
Günter KlambauerProf., LIT AI Lab & Institute for Machine Learning, Johannes Kepler UniversityE-mail megerősítve itt: ml.jku.at
