Mathieu Carrière visited our group on February 10, 2022 to give a talk on A Framework to Differentiate Persistent Homology with Applications in Machine Learning and Statistics.
Nicolas Guigui and Thomas Gerald presented geomstats at the 3rd Inria DevTalk on December 1st at the Sorbonne Center for Artificial Intelligence (SCAI), more info on the event page.
Nicolas Duchateau visited our group on November 19, 2021 to give a talk on Cardiac function analysis with representation learning.
Stefan Horst Sommer visited our group on November 17, 2021 to give a talk on Stochastic shape analysis and probabilistic geometric statistics.
Sarang Joshi visited our group on November 17, 2021 to give a talk on Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics.
Clément Maria visited our group on November 4, 2021 to give a talk on Scanning a Riemannian manifold: The intrinsic topological transform.
Nicolas Guigui was invited to present his work at the seminar of the SAMM lab (Statistics, Analysis, Multi-disciplinary Modeling) of University Paris 1, on October 1st. More info on the organizers’ web page.
X. Pennec was invited to give a talk entitled “Curvature effects in Geometric statistics : empirical Frechet mean and parallel transport accuracy” at the BIRS / Casa Matemática Oaxaca workshop on Geometry & learning from data on October 27 2021. The video is available here.
Alice Le Brigant visited our group on October 21, 2021 to give a talk on Fisher information geometry of beta and Dirichlet distributions.
Geomstats is an open-source Python package for Riemannian geometry in Machine Learning developed by an international team of researchers in which our team is strongly involved. We are happy to organize our last coding sprint of the year at the SCAI in Paris, between December 13-17th. During this sprint, we…