Inria DevTalks
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.
Category: events
Presentation at the SAMM Seminar
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.
Talk at BIRS/CMO workshop on Geometry & Learning from Data
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.
Geomstats FIXIT days
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…
Presentation at the Scipy Conference
We are happy to announce that the package geomstats was presented at the Scipy conference 2020 in the Machine Learning session on July 6th! More info on the conference here. Proceeding paper here.
Geometric Statistics Workshop
The Geometric Statistics workshop was held from Aug-30 to Sept. 5, 2019 in Toulouse, organized by X. Pennec with the help of Alice le Brigant. The workshop featured six-hour courses by Susan Holmes (Stat. Dept, Stanford), Ezra Miller (Duke University) and Xavier Pennec, talks by six other world specialists, and…
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Presentation at the SAMM Seminar
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.
Talk at BIRS/CMO workshop on Geometry & Learning from Data
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.
Geomstats FIXIT days
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…
Presentation at the Scipy Conference
We are happy to announce that the package geomstats was presented at the Scipy conference 2020 in the Machine Learning session on July 6th! More info on the conference here. Proceeding paper here.
Geometric Statistics Workshop
The Geometric Statistics workshop was held from Aug-30 to Sept. 5, 2019 in Toulouse, organized by X. Pennec with the help of Alice le Brigant. The workshop featured six-hour courses by Susan Holmes (Stat. Dept, Stanford), Ezra Miller (Duke University) and Xavier Pennec, talks by six other world specialists, and…