| Hopfield networks is all you need H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, T Adler, L Gruber, ... arXiv preprint arXiv:2008.02217, 2020 | 454 | 2020 |
| Patch Refinement--Localized 3D Object Detection J Lehner, A Mitterecker, T Adler, M Hofmarcher, B Nessler, S Hochreiter arXiv preprint arXiv:1910.04093, 2019 | 67 | 2019 |
| Cross-domain few-shot learning by representation fusion T Adler, J Brandstetter, M Widrich, A Mayr, D Kreil, MK Kopp, ... | 42 | 2020 |
| History compression via language models in reinforcement learning F Paischer, T Adler, V Patil, A Bitto-Nemling, M Holzleitner, S Lehner, ... International Conference on Machine Learning, 17156-17185, 2022 | 29 | 2022 |
| Quantum optical experiments modeled by long short-term memory T Adler, M Erhard, M Krenn, J Brandstetter, J Kofler, S Hochreiter Photonics 8 (12), 535, 2021 | 13 | 2021 |
| Hopfield networks is all you need. arXiv 2020 H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, T Adler, L Gruber, ... arXiv preprint arXiv:2008.02217, 0 | 13 | |
| & Hochreiter, S.(2020). Hopfield networks is all you need H Ramsauer, B Schäfl, J Lehner, P Seidl, M Widrich, T Adler arXiv preprint arXiv:2008.02217, 2008 | 7 | 2008 |
| Few-shot learning by dimensionality reduction in gradient space M Gauch, M Beck, T Adler, D Kotsur, S Fiel, H Eghbal-zadeh, ... Conference on Lifelong Learning Agents, 1043-1064, 2022 | 5 | 2022 |
| Patch Refinement—Localized 3D Object Detection. arXiv 2019 J Lehner, A Mitterecker, T Adler, M Hofmarcher, B Nessler, S Hochreiter arXiv preprint arXiv:1910.04093, 0 | 5 | |
| 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 | 3 | 2024 |
| Semantic HELM: an interpretable memory for reinforcement learning F Paischer, T Adler, M Hofmarcher, S Hochreiter arXiv preprint arXiv:2306.09312, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Quantum Optical Experiments Modeled by Long Short-Term Memory. Photonics 2021, 8, 535 T Adler, M Erhard, M Krenn, B Brandstetter, J Kofler, S Hochreiter s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 1 | 2021 |
| Close the Gap: Lightweight Image Captioning via Retrieval Augmentation F Paischer, T Adler, M Hofmarcher, S Hochreiter | | 2023 |
| SITTA: A Semantic Image-Text Alignment for Image Captioning F Paischer, T Adler, M Hofmarcher, S Hochreiter arXiv preprint arXiv:2307.05591, 2023 | | 2023 |
| 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 | | 2022 |
| Convolutional LSTM for Next Frame Prediction/submitted by Thomas Adler T Adler | | 2017 |
| Linear Alignment of Vision-language Models for Image Captioning F Paischer, M Hofmarcher, S Hochreiter, T Adler | | |
| LSTM-Designed Quantum Experiments T Adler, M Erhard, M Krenn, J Brandstetter, J Kofler, S Hochreiter | | |
