Johannes Hagemann

16 papers A* 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Arcee Trinity Large Technical Report.
CoRR
Varun Singh, Lucas Krauss, Sami Jaghouar, Matej Sirovatka, Charles Goddard, Fares Obied, Jack Min Ong, Jannik Straube, Fern, Aria Harley, Conner Stewart, Colin Kealty, Maziyar Panahi, Simon Kirsten, Anushka Deshpande, Anneketh Vij, Arthur Bresnu, Pranav Veldurthi, Raghav Ravishankar, Hardik Bishnoi, DatologyAI Team, Arcee AI Team, Prime Intellect Team, Mark McQuade, Johannes Hagemann, Lucas Atkins
2025 J jnl
INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning.
CoRR
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, Michael Keiblinger, Johannes Hagemann
2025 J jnl
INTELLECT-3: Technical Report.
CoRR
Prime Intellect Team, Mika Senghaas, Fares Obeid, Sami Jaghouar, William Brown, Jack Min Ong, Daniel Auras, Matej Sirovatka, Jannik Straube, Andrew Baker, Sebastian Müller, Justus Mattern, Manveer Basra, Aiman Ismail, Dominik Scherm, Cooper Miller, Ameen Patel, Simon Kirsten, Mario Sieg, Christian Reetz, Kemal Erdem, Vincent Weisser, Johannes Hagemann
2025 J jnl
METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring.
CoRR
Ollie Liu, Sami Jaghouar, Johannes Hagemann, Shangshang Wang, Jason Wiemels, Jeff Kaufman, Willie Neiswanger
2025 J jnl
Prime Collective Communications Library - Technical Report.
CoRR
Michael Keiblinger, Mario Sieg, Jack Min Ong, Sami Jaghouar, Johannes Hagemann
2025 J jnl
Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram.
CoRR
Xiaogang Yang, Dawit Hailu, Vojtech Kulvait, Thomas Jentschke, Silja Flenner, Imke Greving, Stuart I. Campbell, Johannes Hagemann, Christian G. Schroer, Tak Ming Wong, Julian Moosmann
2025 A* conf
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference.
ICML
Jack Min Ong, Matthew Di Ferrante, Aaron Pazdera, Ryan Garner, Sami Jaghouar, Manveer Basra, Max Ryabinin, Johannes Hagemann
2025 J jnl
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference.
CoRR
Jack Min Ong, Matthew Di Ferrante, Aaron Pazdera, Ryan Garner, Sami Jaghouar, Manveer Basra, Johannes Hagemann
2024 J jnl
INTELLECT-1 Technical Report.
CoRR
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
2024 J jnl
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training.
CoRR
Sami Jaghouar, Jack Min Ong, Johannes Hagemann
2023 J jnl
Efficient Parallelization Layouts for Large-Scale Distributed Model Training.
CoRR
Johannes Hagemann, Samuel Weinbach, Konstantin Dobler, Maximilian Schall, Gerard de Melo
2022 J jnl
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation.
CoRR
Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert
2020 J jnl
Evaluation of the Weighted Mean X-ray Energy for an Imaging System Via Propagation-Based Phase-Contrast Imaging.
J. 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, Bernhard Akstaller
2016 J jnl
Parallel Statistical Multiresolution Estimation for Image Reconstruction.
SIAM J. Sci. Comput.
Stephan C. Kramer, Johannes Hagemann, Lutz Künneke, Jan Lebert
2015 J jnl
Parallel Statistical Multi-resolution Estimation.
CoRR
Jan Lebert, Lutz Künneke, Johannes Hagemann, Stephan C. Kramer
2015 J jnl
SciPAL: Expression Templates and Composition Closure Objects for High Performance Computational Physics with CUDA and OpenMP.
ACM Trans. Parallel Comput.
Stephan C. Kramer, Johannes Hagemann