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

Heather Harrington

Stefanie Jegelka

Sebastian Pokutta

Invited Talks

Sophie Achard

Erik Bekkers

Kathlén Kohn

Anastasis Kratsios

Guido Montúfar

Sayan Mukherjee

Maks Ovsjanikov

Emanuele Rodola

Rishi Sonthalia

Sascha Timme

Angelica Torres

Funding

Limited travel funding can be provided for early-career participants, mainly targeting postdoctoral researchers and Ph.D. students. Applicants are expected to submit a brief academic CV and a statement of purpose, Ph.D. students applying for funding must additionally provide a letter of support from advisor(s). The funding application is included in the registration form.

Deadlines

Deadline for funding requests is September 15, 2023. Deadline for registration to participate in conference is October 15, 2023.

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

Samantha Fairchild
MPI for Mathematics in the Sciences

Diaaeldin Taha
MPI for Mathematics in the Sciences

Anna Wienhard
MPI for Mathematics in the Sciences

Administrative Contact