[G-Stats Seminar] Erik Bekkers
Erik Bekkers visited our group on April 28, 2022 to give a talk on Group equivariant deep learning and non-linear convolutions.
Erik Bekkers visited our group on April 28, 2022 to give a talk on Group equivariant deep learning and non-linear convolutions.
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 have organized our second coding sprint of the year at the Villa Clythia, in Frejus between April 4th – 8th….
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 have organized our first coding sprint of the year at the Inria Sophia Antipolis, between February 21- 25th. During this…
Emmanuel Chevallier visited our group on February 24, 2022 to give a talk on Hyperbolic geometry and light polarization.
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.