LLM statistics

This episode was recorded in March 2026. Gudrun speaks again with
Nadja Klein and Moussa Kassem Sbeyti who work at the Scientific
Computing Center (SCC) at KIT in Karlsruhe. As a new person in
our conversation we welcome Nicolas Bianco.


The research of the scientists in Nadja's MBD Lab is at the
intersection of statistics and machine learning. It spans
theoretical analysis, method development and real-world
applications. Last time we focussed on Baysian statistics. With
the help of Nicolas we want to examplify how interdisciplinary
work is done and how his journey led him into this field of
research. Since in this episode we very much focussed on Nicolas
decision process and steps in his carrier we plan to have an
episode on the topics later in the year.

Literature and further information

Webpage of the group

Webpage of Moussa Kassem Sbeyti

Webpage of Nicolas Bianco

M. K. Sbeyti and N. Klein: Depth as prior knowledge for
object detection, arXiv:2602.05730, 2026


Podcasts

Ep 42 of Vanishing Gradient, Jan 2025.

O. Beige, G. Thäter: Risikoentscheidungsprozesse, Gespräch im
Modellansatz Podcast, Folge 193, Fakultät für Mathematik,
Karlsruher Institut für Technologie (KIT), 2019.

N. Klein, M. Sbeyti, G. Thaeter: Bayesian Learning, Gespräch
im Modellansatz Podcast, Folge 253, Fakultät für Mathematik,
Karlsruher Institut für Technologie (KIT), 2025.