

Workshop on Geometry and Machine Learning
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.

Date and Location
November 13 - 15, 2023
Max Planck Institute for Mathematics in the Sciences
E1 05 (Leibniz-Saal)
Inselstr. 22
04103 Leipzig
Scientific Organizers
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
Katharina MatschkeMPI for Mathematics in the Sciences