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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Teaching Language Models to Express Uncertainty
An ICLR 2026 paper shows how reinforcement learning improves confidence estimates from language models.
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
27.10.2026
Welcoming Ewa Szczurek to MCML
Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.
