| StarCoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 571 | 2023 |
| Danish Contractor R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz …, 2023 | 77 | 2023 |
| Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... Starcoder: may the source be with you 3 (3.5), 1, 2023 | 66 | 2023 |
| JUWELS Booster–A Supercomputer for Large-Scale AI Research S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ... High Performance Computing: ISC High Performance Digital 2021 International …, 2021 | 17 | 2021 |
| Tokenizer Choice For LLM Training: Negligible or Crucial? M Ali, M Fromm, K Thellmann, R Rutmann, M Lübbering, J Leveling, ... arXiv preprint arXiv:2310.08754, 2023 | 11 | 2023 |
| Starcoder: may the source be with you!(2023) R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 8 | 2023 |
| OpenGPT-X–Training Large Language Models on HPC Systems CM John, C Penke, A Herten, J Ebert, S Kesselheim ISC High Performance 2023, 2023 | 3 | 2023 |
| Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing M Pargmann, J Ebert, M Götz, D Maldonado Quinto, R Pitz-Paal, ... Nature Communications 15 (1), 6997, 2024 | 1 | 2024 |
| In-Situ Solar Tower Power Plant Optimization by Differentiable Raytracing M Pargmann, J Ebert, D Maldonado Quinto, R Pitz-Paal, S Kesselheim Nature Communications, 2023 | 1 | 2023 |
| In situ enhancement of heliostat calibration using differentiable ray tracing and artificial intelligence M Pargmann, J Ebert, S Kesselheim, DM Quinto, R Pitz-Paal SolarPACES Conference Proceedings 1, 2022 | 1 | 2022 |
| Analysis of Rutherford backscattering spectra with CNN-GRU mixture density network KF Muzakka, S Möller, S Kesselheim, J Ebert, A Bazarova, H Hoffmann, ... Scientific Reports 14 (1), 16983, 2024 | | 2024 |
| Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? AA Weber, K Thellmann, J Ebert, N Flores-Herr, J Lehmann, M Fromm, ... arXiv preprint arXiv:2402.13703, 2024 | | 2024 |
| Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? A Arno Weber, K Thellmann, J Ebert, N Flores-Herr, J Lehmann, M Fromm, ... arXiv e-prints, arXiv: 2402.13703, 2024 | | 2024 |
| Automatic Heliostat Learning for In-situ Concentrating Solar Power Plant Optimization with Differentiable Ray Tracing M Pargmann, J Ebert, DM Quinto, R Pitz-Paal, S Kesselheim | | 2024 |
| Hearts Gym: Learning Reinforcement Learning as a Team Event J Ebert, DT Doncevic, R Kloß, S Kesselheim The Third Teaching Machine Learning and Artificial Intelligence Workshop, 16-21, 2023 | | 2023 |
| Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series R Sedona, C Paris, J Ebert, M Riedel, G Cavallaro IEEE Geoscience and Remote Sensing Letters, 2023 | | 2023 |
| Towards a neural network based flux density prediction–Using generative models to enhance CSP raytracing M Pargmann, DM Quinto, S Kesselheim, J Ebert, R Pitz-Paal AIP Conference Proceedings 2815 (1), 2023 | | 2023 |
| Physics informed Neural Networks applied to the description of wave-particle resonance in kinetic simulations of fusion plasmas J Kumar, D Zarzoso, V Grandgirard, J Ebert, S Kesselheim arXiv preprint arXiv:2308.12312, 2023 | | 2023 |
| Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping R Sedona, J Ebert, C Paris, M Riedel, G Cavallaro IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| OpenGPT-X-Training Large Language Models on HPC Systems C Penke, S Kesselheim, J Ebert, A Herten, E Suarez, CM John 14th JLESC Workshop, 2022 | | 2022 |
