The conference will serve as a gathering point for researchers interested in studying machine learning and deep learning from a geometric perspective and, more generally, a mathematical viewpoint, as well as applying geometric and mathematical tools in machine learning in a broad sense. Geometric is understood in a broad sense, encapsulating but not limited to algebraic and topological tools for continuous and discrete structures. 

This fourth edition of the conference follows Geometry and Machine Learning held in Scalea, Italy, in 2024 and Geometry and Machine Learning 2, Geometry and Machine Learning 3 held in Paris, France  in 2024 and 2025.

The conference will be held in Paris at Sorbonne Université, Paris, from May 17 to May 21, 2027.

Interested in participating in GML27? Join the mailing list through this form.

For any questions, please contact: gregoire.sergeant-perthuis@sorbonne-universite.fr 

Practical informations: 

Where: TBA

Sorbonne Université, 4 Place Jussieu, 75005 Paris. 

Metro Station: Line 10, or Line 7 metro station Jussieu.

To schedule your itinerary a useful link is here.

Speakers:  TBA

Sponsors: