Jan Ebert

According to our database, Jan Ebert authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, April, 2025

Memory and Bandwidth are All You Need for Fully Sharded Data Parallel.

Jiangtao Wang, Jan Ebert, Oleg Filatov, Stefan Kesselheim

CoRR, April, 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, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran

CoRR, January, 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, Vedhas Pandit, Richard Pausch, Norbert Podhorszki, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

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

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs.

Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander Arno Weber, Richard Rutmann, Charvi Jain, Max Lübbering, Daniel Steinigen, Johannes Leveling, Katrin Klug, Jasper Schulze Buschhoff, Lena Jurkschat, Hammam Abdelwahab, Benny Jörg Stein, Karl-Heinz Sylla, Pavel Denisov, Nicolo' Brandizzi, Qasid Saleem, Anirban Bhowmick, Lennard Helmer, Chelsea Maria John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Shima Asaadi, Fabio Barth, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr

CoRR, 2024

Tokenizer Choice For LLM Training: Negligible or Crucial?

Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?

Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 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

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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Hearts Gym: Learning Reinforcement Learning as a Team Event.

Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim

Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022

2021

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, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021