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ORCIDStefan Kesselheim
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2020 – today
- 2025
[i13]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:
The Artificial Scientist - in-transit Machine Learning of Plasma Simulations. CoRR abs/2501.03383 (2025)- [i12]Ismail Khalfaoui Hassani, Stefan Kesselheim:
Learnable polynomial, trigonometric, and tropical activations. CoRR abs/2502.01247 (2025) - [i11]Carlos Gomes, Isabelle Wittmann, Damien Robert, Johannes Jakubik, Tim Reichelt, Michele Martone, Stefano Maurogiovanni, Rikard Vinge, Jonas Hurst, Erik Scheurer, Rocco Sedona, Thomas Brunschwiler, Stefan Kesselheim, Matej Batic, Philip Stier, Jan Dirk Wegner, Gabriele Cavallaro, Edzer Pebesma, Michael Marszalek, Miguel Angel Belenguer-Plomer, Kennedy Adriko, Paolo Fraccaro, Romeo Kienzler, Rania Briq, Sabrina Benassou, Michele Lazzarini, Conrad M. Albrecht:
Lossy Neural Compression for Geospatial Analytics: A Review. CoRR abs/2503.01505 (2025) - 2024
- [j4]Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radoslaw Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian J. Theis, Michael Sattler, Grzegorz M. Popowicz:
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nat. Comput. Sci. 4(5): 367-378 (2024) - [c3]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:
Tokenizer Choice For LLM Training: Negligible or Crucial? NAACL-HLT (Findings) 2024: 3907-3924 - [i10]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:
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. CoRR abs/2410.03730 (2024) - [i9]Oleg Filatov, Jan Ebert, Jiangtao Wang, Stefan Kesselheim:
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limit. CoRR abs/2410.05838 (2024) - [i8]Klemens Flöge, Srisruthi Udayakumar, Johanna Sommer, Marie Piraud, Stefan Kesselheim, Vincent Fortuin, Stephan Günnemann, Karel J. van der Weg, Holger Gohlke, Alina Bazarova, Erinc Merdivan:
OneProt: Towards Multi-Modal Protein Foundation Models. CoRR abs/2411.04863 (2024) - [i7]Rania Briq, Jiangtao Wang, Stefan Kesselheim:
Data Pruning in Generative Diffusion Models. CoRR abs/2411.12523 (2024) - [i6]Jiangtao Wang, Zhen Qin, Yifan Zhang, Vincent Tao Hu, Björn Ommer, Rania Briq, Stefan Kesselheim:
Scaling Image Tokenizers with Grouped Spherical Quantization. CoRR abs/2412.02632 (2024) - 2023
- [j3]Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel:
Providing AI expertise as an infrastructure in academia. Patterns 4(8): 100819 (2023) - [i5]Mehdi Cherti, Alexander Czernik, Stefan Kesselheim, Frederic Effenberger, Jenia Jitsev:
A Comparative Study on Generative Models for High Resolution Solar Observation Imaging. CoRR abs/2304.07169 (2023) - [i4]Jai Kumar, David Zarzoso, Virginie Grandgirard, Jan Ebert, Stefan Kesselheim:
Physics informed Neural Networks applied to the description of wave-particle resonance in kinetic simulations of fusion plasmas. CoRR abs/2308.12312 (2023) - [i3]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:
Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR abs/2310.08754 (2023) - 2022
- [c2]Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim:
Hearts Gym: Learning Reinforcement Learning as a Team Event. Teaching ML 2022: 16-21 - [i2]Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim:
Hearts Gym: Learning Reinforcement Learning as a Team Event. CoRR abs/2209.05466 (2022) - 2021
- [c1]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:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. ISC Workshops 2021: 453-468 - [i1]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:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. CoRR abs/2108.11976 (2021)
2010 – 2019
- 2013
- [j2]Axel Arnold, Konrad Breitsprecher, Florian Fahrenberger, Stefan Kesselheim, Olaf Lenz, Christian Holm:
Efficient Algorithms for Electrostatic Interactions Including Dielectric Contrasts. Entropy 15(11): 4569-4588 (2013) - 2011
- [j1]Stefan Kesselheim, Marcello Sega, Christian Holm:
Applying ICC* to DNA translocation: Effect of dielectric boundaries. Comput. Phys. Commun. 182(1): 33-35 (2011)
Coauthor Index
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