Geometry, topology and machine learning
GtML26
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 workshop follows a Geometry and Machine Learning held in Scalea, Italy, in 2024 and of Geometry and Machine Learning 2 held in Paris, France in 2025.
The conference will be held in Paris at Sorbonne Université, Paris, from May 18 to May 22, 2026.
For any questions, please contact: [email protected]
Practical informations:
Where: Monday to Thursday: Room C404, CQSB, Building C, 4th floor,
Friday: Amphi 25 - Sorbonne Université, 4 Place Jussieu, 75005 Paris