Stefan Kesselheim

According to our database, Stefan Kesselheim authored at least 27 papers between 2011 and 2026.

Collaborative distances:

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

2026

Machine Learning for neutron source distributions.

Jose Ignacio Robledo, Norberto Schmidt, Klaus Lieutenant, Jingjing Li, Stefan Kesselheim, Paul Zakalek

CoRR, May, 2026

Exploring and Exploiting Stability in Latent Flow Matching.

Rania Briq, Michael Kamp, Ohad Fried, Sarel Cohen, Stefan Kesselheim

CoRR, May, 2026

The Amazing Stability of Flow Matching.

Rania Briq, Michael Kamp, Ohad Fried, Sarel Cohen, Stefan Kesselheim

CoRR, April, 2026

LEPA: Learning Geometric Equivariance in Satellite Remote Sensing Data with a Predictive Architecture.

Erik Scheurer, Rocco Sedona, Stefan Kesselheim, Gabriele Cavallaro

CoRR, March, 2026

2025

Optimal Scaling Needs Optimal Norm.

Oleg Filatov, Jiangtao Wang, Jan Ebert, Stefan Kesselheim

CoRR, October, 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

Lossy Neural Compression for Geospatial Analytics: A Review.

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 J. Pebesma, Michael Marszalek, Miguel Angel Belenguer-Plomer, Kennedy Adriko, Paolo Fraccaro, Romeo Kienzler, Rania Briq, Sabrina Benassou, Michele Lazzarini, Conrad M. Albrecht

CoRR, March, 2025

Learnable polynomial, trigonometric, and tropical activations.

Ismail Khalfaoui Hassani, Stefan Kesselheim

CoRR, February, 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

OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders.

Klemens Flöge, Srisruthi Udayakumar, Johanna Sommer, Marie Piraud, Stefan Kesselheim, Vincent Fortuin, Stephan Günnemann, Karel J. van der Weg, Holger Gohlke, Erinc Merdivan, Alina Bazarova

PLoS Comput. Biol., 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

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, Fabio Barth, Paramita Mirza, Lucas Weber, Ines Wendler, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

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 Maria 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