Geometry, topology and machine learning

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  third edition of the conference 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.

Attendance is free and there is no registration, so please don't hesitate to join us.
However you can fill in the Participant Information Form.  

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

Practical informations: 

Where: 

 Monday to Thursday: Room C404, CQSB, Building C, 4th floor,
Friday: Amphi 25.

Sorbonne Université, 4 Place Jussieu, 75005 Paris. See the booklet for additional information.

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

To schedule your itinerary a useful link is here.

Speakers:  see the program, see the booklet

Aleksandr Kachura (National Research University Higher School of Economics)
Anibal Medina-Mardones (Western University)
António Leitão (Scuola Normale Superiore)
Argyris Kalogeratos (Université Paris-Saclay, ENS Paris-Saclay, CNRS)
Daniel Bennequin (Université Paris Cité)
Edouard Oyallon (Sorbonne Université, CNRS)
Frederic Cazals (Centre Inria d'Université Côte d'Azur)
Jiayi Li (MPI-CBG)
Johannes Lutzeyer (École Polytechnique)
Joseph Nardin-Gennequin (Université Claude Bernard Lyon 1)
Josué Tonelli Cueto (CUNEF Universidad)
Juan Pablo Vigneaux (Northwestern University)
Julien Tierny (Sorbonne Université, CNRS)
Levent Doğan (Ruhr University Bochum)
Marzieh Eidi (SCaDS.AI and MPI-MIS)
Matilde Marcolli (Caltech)
Matthieu Montes (Sorbonne Université, CNRS)
Nina Otter (Inria Saclay)
Olga Anosova (University of Liverpool)
Olivier Bisson (Inria, Université Côte d'Azur)
Santiago Velasco-Forero (Mines Paris PSL, CNRS)
Steve Oudot (Inria Saclay, École Polytechnique)
Tolga Birdal (Imperial College London)
Tony Lelièvre (Inria Paris, Ecole Nationale des Ponts et Chaussées ENPC-IP Paris)
Ugur Canturk (University of Southampton)
Virginia Bolelli (L2S, CentraleSupélec, Université Paris-Saclay)
Yiannis Vlassopoulos (Athena Research Center, ILSP)

Sponsors: