JUWELS Booster - A Supercomputer for Large-Scale AI Research. - Stefan Kesselheim; Andreas Herten; Kai Krajsek; Jan Ebert; Jenia Jitsev; Mehdi Cherti; Michael Langguth; Bing Gong; Scarlet Stadtler; Amirpasha Mozaffari; Gabriele Cavallaro; Rocco Sedona; et al. (ISC Workshops, 2021)

Hearts Gym: Learning Reinforcement Learning as a Team Event. - Jan Ebert; Danimir T. Doncevic; Ramona Kloß; Stefan Kesselheim (Teaching ML, 2022)

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping. - Rocco Sedona; Jan Ebert; Claudia Paris; Morris Riedel; Gabriele Cavallaro (IGARSS, 2023)

Physics informed Neural Networks applied to the description of wave-particle resonance in kinetic simulations of fusion plasmas. - Jai Kumar; David Zarzoso; Virginie Grandgirard; Jan Ebert; Stefan Kesselheim (CoRR, 2023)

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series. - Rocco Sedona; Claudia Paris; Jan Ebert; Morris Riedel; Gabriele Cavallaro (IEEE Geosci. Remote. Sens. Lett., 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? - Alexander Arno Weber; Klaudia Thellmann; Jan Ebert; Nicolas Flores-Herr; Jens Lehmann 001; Michael Fromm 001; Mehdi Ali (EMNLP, 2024)

Tokenizer Choice For LLM Training: Negligible or Crucial? - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Richard Rutmann; Max Lübbering; Johannes Leveling; Katrin Klug; Jan Ebert; Niclas Doll; Jasper Schulze Buschhoff; Charvi Jain; Alexander Arno Weber; et al. (NAACL-HLT (Findings), 2024)

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Jan Ebert; Alexander Arno Weber; Richard Rutmann; Charvi Jain; Max Lübbering; Daniel Steinigen; Johannes Leveling; Katrin Klug; Jasper Schulze Buschhoff; et al. (CoRR, 2024)

Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limit. - Oleg Filatov; Jan Ebert; Jiangtao Wang; Stefan Kesselheim (CoRR, 2024)

The Artificial Scientist: in-Transit Machine Learning of Plasma Simulations. - Jeffrey Kelling; Vicente Bolea; Michael Bussmann; Ankush Checkervarty; Alexander Debus; Jan Ebert; Greg Eisenhauer; Vineeth Gutta; Stefan Kesselheim; Scott Klasky; Vedhas Pandit; Richard Pausch; et al. (IPDPS, 2025)

The Artificial Scientist - in-transit Machine Learning of Plasma Simulations. - Jeffrey Kelling; Vicente Bolea; Michael Bussmann; Ankush Checkervarty; Alexander Debus; Jan Ebert; Greg Eisenhauer; Vineeth Gutta; Stefan Kesselheim; Scott Klasky; Richard Pausch; Norbert Podhorszki; et al. (CoRR, 2025)

Memory and Bandwidth are All You Need for Fully Sharded Data Parallel. - Jiangtao Wang; Jan Ebert; Oleg Filatov; Stefan Kesselheim (CoRR, 2025)

Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project. - Carolin Penke; Chelsea Maria John; Jan Ebert; Stefan Kesselheim; Andreas Herten (CoRR, 2025)