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Shedule -
2022-T3 Geometry & Statistics in Data Sciences
Geometry, Topology and Statistics in Data Sciences
Institut Henri Poincaré
Amphithéâtre Hermite
11 rue Pierre et Marie Curie 75005 Paris
Geometry, Topology and Statistics in Data Sciences10-14 October - IHP, Paris
On one hand, modern data science makes use of Topological Data Analysis in a preliminary step to obtain structural information before processing supervised or unsupervised methods. On the other hand, when a priori knowledge of a Riemannian manifold containing the data is available, shape analysis proposes to adapt mathematical statistics tools to infer geometric and statistical properties.
Invited Speakers
- Dominique Attali (GIPSA-lab)
- Martin Bauer (Florida State University)
- Omer Bobrowski (Technion Israel Institute of Technology)
- Claire Brécheteau (University Rennes 2)
- Nicolas Charon (Johns Hopkins University)
- Herbert Edelsbrunner (Institute of Science and Technology Austria)
- Barbara Gris (Sorbonne University)
- Heather Harrington (Oxford University)
- Kathryn Hess (EPFL)
- Eric Klassen (Florida State University)
- Johannes Krebs (KU Eichstaett)
- Nina Miolane (UC Santa Barbara)
- Stephen Preston (City University of New York)
- Stefan Horst Sommer (University of Copenhagen)
- Katharine Turner (Australian National University)
- Yusu Wang (UC San Diego)
- Laurent Younes (Johns Hopkins University)