| Workshop on Geometry and Machine Learning- Date: 13.11.2023 - 15.11.2023
- Location: Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, Leipzig (Germany)
- Organized by: Samantha Fairchild, Diaaeldin Taha, Anna Wienhard
- More information:
 See the homepage of the Workshop - Contact: Katharina Matschke
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: https://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. |
