26.10.2025
Unai Fischer-Abaigar Featured on Executive Code
AI Prediction and Its Impact on Government Resource Allocation
MCML Junior Member Unai Fischer-Abaigar, was featured in a recent episode of Executive Code. He discussed his paper “The Value of Prediction in Identifying the Worst-Off”, exploring how governments use AI to allocate limited resources and when improving predictive models is more effective than simply expanding access to public programs. Using real data from Germany’s employment offices, his research challenges the assumption that better prediction always leads to better outcomes in public decision-making.
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Foundations of Diffusion: One Map for Images and Text
Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.
05.03.2026
Matthias Althoff Featured in VentureCapital Magazin
MCML PI Matthias Althoff was featured in VentureCapital Magazin in connection with TUM spin-off Sitegeist.
