Parallel Statistical Multi-resolution Estimation. - Jan Lebert; Lutz Künneke; Johannes Hagemann; Stephan C. Kramer (CoRR, 2015)

SciPAL: Expression Templates and Composition Closure Objects for High Performance Computational Physics with CUDA and OpenMP. - Stephan C. Kramer; Johannes Hagemann (ACM Trans. Parallel Comput., 2015)

Parallel Statistical Multiresolution Estimation for Image Reconstruction. - Stephan C. Kramer; Johannes Hagemann; Lutz Künneke; Jan Lebert (SIAM J. Sci. Comput., 2016)

Evaluation of the Weighted Mean X-ray Energy for an Imaging System Via Propagation-Based Phase-Contrast Imaging. - Maria Seifert; Mareike Weule; Silvia Cipiccia; Silja Flenner; Johannes Hagemann; Veronika Ludwig; Thilo Michel; Paul Neumayer; Max Schuster; Andreas Wolf; Gisela Anton; Stefan Funk; et al. (J. Imaging, 2020)

Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation. - Josafat-Mattias Burmeister; Marcel Fernandez Rosas; Johannes Hagemann; Jonas Kordt; Jasper Blum; Simon Shabo; Benjamin Bergner; Christoph Lippert (CoRR, 2022)

Efficient Parallelization Layouts for Large-Scale Distributed Model Training. - Johannes Hagemann; Samuel Weinbach; Konstantin Dobler; Maximilian Schall; Gerard de Melo (CoRR, 2023)

OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training. - Sami Jaghouar; Jack Min Ong; Johannes Hagemann (CoRR, 2024)

INTELLECT-1 Technical Report. - Sami Jaghouar; Jack Min Ong; Manveer Basra; Fares Obeid; Jannik Straube; Michael Keiblinger; Elie Bakouch; Lucas Atkins; Maziyar Panahi; Charles Goddard; Max Ryabinin; Johannes Hagemann (CoRR, 2024)

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring. - Ollie Liu; Sami Jaghouar; Johannes Hagemann; Shangshang Wang; Jason Wiemels; Jeff Kaufman; Willie Neiswanger (CoRR, 2025)

TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference. - Jack Min Ong; Matthew Di Ferrante; Aaron Pazdera; Ryan Garner; Sami Jaghouar; Manveer Basra; Johannes Hagemann (CoRR, 2025)

INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning. - Prime Intellect Team; Sami Jaghouar; Justus Mattern; Jack Min Ong; Jannik Straube; Manveer Basra; Aaron Pazdera; Kushal Thaman; Matthew Di Ferrante; Felix Gabriel; Fares Obeid; Kemal Erdem; et al. (CoRR, 2025)

Prime Collective Communications Library - Technical Report. - Michael Keiblinger; Mario Sieg; Jack Min Ong; Sami Jaghouar; Johannes Hagemann (CoRR, 2025)