Nicolas Charon
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HIGH DIM. DATA ANALYSIS GROUP

I am running the high dimensional data analysis research group at the Mathematics department of U.H. This group brings together researchers, faculties and students, with various backgrounds and interests but who share a common focus on developing new mathematical frameworks and numerical methods for the modeling and analysis of databases made of large numbers of high dimensional observations living in potentially non-Euclidean spaces.

The group holds meetings every two weeks. Below is the current schedule of presentations from participants:

  • March 17 2025

    - Robert Azencott: Optimized Prediction of Brain Disorder severity.

    - Dan Lior: Towards Optimal Design of Aortic Reconstruction Minimizing Viscous Energy Loss. Slides


  • March 31 2025

    - Nicolas Charon: Machine learning and geometric data analysis. Slides


  • April 14 2025

    - Emmanuel Hartman: Parameterization Invariant Feature Vectors For Shape Learning. Slides

    - Ming Zhong: Recent Advances in Learning from High-Dim Dynamical Systems. Slides