Open Source
Research
2025
INTELLECT-3: A 100B+ MoE trained with Large-Scale RL
M. Senghaas, F. Obeid, S. Jaghouar, W. Brown, J. Ong, D. Auras, M. Sirovatka, J. Straube, A. Baker, S. Müller, J. Mattern, M. Basra, A. Ismail, D. Scherm, C. Miller, A. Patel, S. Kirsten, M. Sieg, C. Reetz, K. Erdem, V. Weisser, J. Hagemann
PRIME-RL: Async & Decentralized RL Training at Scale
M. Senghaas, F. Obeid, S. Jaghouar, W. Brown, J. Ong, A. Baker, J. Mattern, D. Auras, J. Straube, M. Basra, A. Ismail, J. Hagemann
SYNTHETIC-2: Scaling Distributed Synthetic Data Generation for Verified Reasoning
M. Senghaas, J. Ong, M. Basra, J. Mattern, J. Straube, S. Jaghouar, J. Hagemann
INTELLECT-2: A Reasoning Model Trained Through Globally Decentralized Reinforcement Learning
S. Jaghouar, J. Mattern, J. Ong, J. Straube, M. Basra, A. Pazdera, K. Thaman, M. Di Ferrante, F. Gabriel, F. Obeid, K. Erdem, M. Keiblinger, M. Senghaas, J. Hagemann
2024
CNNs for Style Transfer of Digital to Film Photography
2023
Advancing Homepage2Vec with LLM-Generated Datasets for Multilingual Website Classification
Benchmarking SOT Feature Transform for Biomedical Few-Shot Learning Tasks
Navigating Indoors with Computer Vision - Deep Learning Approaches for Room-Level Indoor Localisation
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© Mika Senghaas 2026