Mini-Workshop on Scientific Machine Learning and Uncertainty Quantification
to
R149, RWTH main building (Templergraben 55)
The topics of scientific machine learning and of uncertainty quantification, which are closely related in their mathematical underpinnings, play an…
André Uschmajew (University of Augsburg)
SeMath
Colloquium
Title: Accelerating operator Sinkhorn iteration with overrelaxation
Abstract: The operator scaling problem is a generalization of the famous matrix…
Borjan Geshkovski (Inria Paris, Sorbonne Université)
SeMath
Colloquium
Title: Some mathematical perspectives on Transformers
Abstract: Since their introduction in 2017, Transformers have revolutionized large language…
Martin Burger (University of Hamburg)
SeMath
Colloquium
Title: Optimal Transport and Gradient Flows on Networks
Abstract: In this talk we will discuss the mathematical modelling and analysis of optimal…