Research interests
- topological and geometric inference
- persistent homology
- provably-good reconstruction from point cloud data
- mesh generation with guarantees
- shape probing and motion planning
Recent publications (full list available here)
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D. Arthur,
S. Y. Oudot. Reverse Nearest Neighbors Search in High Dimensions
using Locality-Sensitive Hashing. INRIA research report RR-7084,
November 2010. arXiv:1011.4955v1 [cs.CG, cs.DS].
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F. Chazal,
L. J. Guibas, S. Y. Oudot, P. Skraba. Persistence-Based
Clustering in Riemannian Manifolds. Proc. 27th Annual ACM
Symposium on Computational Geometry, pages 97-106, 2011
(full version).
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B. Hudson, G. L. Miller, S. Y. Oudot, D. R. Sheehy. Topological
Inference via Meshing. Proc. 26th Annual ACM Symposium
on Computational Geometry, pages 277-286, 2010.
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Teaching (École Polytechnique)
- INF 562 -- Computational
Geometry: from Theory to Applications
- INF 431 -- Algorithmes et Programmation: du séquentiel au distribué
- INF 421 -- Les bases de la programmation et de l'algorithmique
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