November 13 - 15, 2023
Max Planck Institute for Mathematics in the Sciences

Geometry plays a crucial role in many Machine Learning problems, as it effectively captures the underlying structure and regularity of data. Additionally, Geometry provides a versatile framework for analyzing, unifying and generalizing Machine Learning methods to new settings.

GaML-23 aims to foster interaction and collaboration among researchers and practitioners working at the intersection of Geometry and Machine Learning. The Workshop will consist of invited talks, including keynotes by well-known experts and hands-on tutorials on implementing Geometric Machine Learning algorithms.

Previous GaML Workshops: 2022: gaml.mathi.uni-heidelberg.de

Speakers:

Plenary Speakers

Stefanie Jegelka

Heather Harrington

Sebastian Pokutta

Invited Talks

Kathlén Kohn

Anastasis Kratsios

Emanuele Rodola

Rishi Sonthalia

Sophie Achard

Guido Montúfar

Sayan Mukherjee

Maks Ovsjanikov

Erik Bekkers

Tutorials

Sascha Timme: Homotopy Continuation Methods

November 13 - 15, 2023
Max Planck Institute for Mathematics in the Sciences
E1 05 (Leibniz-Saal)
Inselstr. 22
04103 Leipzig

Anna Wienhard
MPI for Mathematics in the Sciences

Samantha Fairchild
MPI for Mathematics in the Sciences

Diaaeldin Taha
MPI for Mathematics in the Sciences

Administrative Contact