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
• Jan Stühmer
• Sascha Timme
• Angelica Torres

Funding

Limited funds are available to cover some travel and accommodation costs 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

Applications for funding requests are closed now. 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

Conference email

Administrative Contact