Stefan Kesselheim

According to our database, Stefan Kesselheim authored at least 14 papers between 2011 and 2024.

Collaborative distances:

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

2024

MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery.

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

Nat. Comput. Sci., May, 2024

Scaling Image Tokenizers with Grouped Spherical Quantization.

Jiangtao Wang, Zhen Qin, Yifan Zhang, Vincent Tao Hu, Björn Ommer, Rania Briq, Stefan Kesselheim

CoRR, 2024

Data Pruning in Generative Diffusion Models.

Rania Briq, Jiangtao Wang, Stefan Kesselheim

CoRR, 2024

OneProt: Towards Multi-Modal Protein Foundation Models.

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

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

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

2023

Providing AI expertise as an infrastructure in academia.

Marie Piraud, Andrés Camero, Markus Götz, Stefan Kesselheim, Peter Steinbach, Tobias Weigel

Patterns, August, 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

A Comparative Study on Generative Models for High Resolution Solar Observation Imaging.

Mehdi Cherti, Alexander Czernik, Stefan Kesselheim, Frederic Effenberger, Jenia Jitsev

CoRR, 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

2013

Efficient Algorithms for Electrostatic Interactions Including Dielectric Contrasts.

Axel Arnold, Konrad Breitsprecher, Florian Fahrenberger, Stefan Kesselheim, Olaf Lenz, Christian Holm

Entropy, 2013

2011

Applying ICC^* to DNA translocation: Effect of dielectric boundaries.

Stefan Kesselheim, Marcello Sega, Christian Holm

Comput. Phys. Commun., 2011