08.10.2024, 10:15 - 11:45  –  3.06.H02
Kálmán Lecture

Particle Methods in Machine Learning and Inverse Problems

Martin Burger, Helmholtz Imaging

7th Kálmán Lecture with Martin Burger

The use of methods resembling (interacting) particle systems has gained a lot of interest for different tasks in machine learning, inverse problems, and related... 

16.10.2024, 14:00 - 16:00  –  Campus Golm, Building 9, Room 2.22 and via Zoom
Institutskolloquium

Übungen: Konzepte und ihre praktische Umsetzung

Anke Lindmeier (Jena), Rolf Biehler (Paderborn)

14:00  Anke Lindmeier (Jena):  „Lehramtsaufgaben" in fachwissenschaftlichen Übungen: Vom Konzept zu Practices und ersten Wirkungsanalysen.
14:45  Tea and Coffee Break
15:15  Rolf Biehler (Paderborn): ... 

17.10.2024, 14:00 - 16:00  –  2.9.2.22
SFB-Seminar

Linear methods for non-linear inverse problems

Botond Tibor Szabo, Bocconi University, Italy

We consider recovering an unknown function f from a noisy observation of the solution u_f  to a partial differential equation of the type Lu_f  = c(f, u_f ) for a differential operator L, and invertible... 

17.10.2024, 16:15 Uhr  –  Raum 0.14
Forschungsseminar Differentialgeometrie

An equivariant index theorem on a Riemannian manifold.

Onirban Islam

TBA

18.10.2024, 10:15 - 11:45  –  2.28.0.108
SFB-Kolloquium

Scalable methods for Gaussian process regression

Botond Tibor Szabo, Università Bocconi, Italy

Gaussian processes (GP) are frequently used in Bayesian nonparametrics as a prior distribution on infinite dimensional functional parameters. However, even in case of the simple nonparametric...