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Bibliography

Major publications by the team in recent years
  • 1D. Attali, U. Bauer, O. Devillers, M. Glisse, A. Lieutier.

    Homological Reconstruction and Simplification in R3, in: Computational Geometry, 2014. [ DOI : 10.1016/j.comgeo.2014.08.010 ]

    https://hal.archives-ouvertes.fr/hal-01132440
  • 2J.-D. Boissonnat, R. Dyer, A. Ghosh.

    Delaunay Triangulation of Manifolds, in: Foundations of Computational Mathematics, 2017, vol. 45, 38 p. [ DOI : 10.1007/s10208-017-9344-1 ]

    https://hal.inria.fr/hal-01509888
  • 3J.-D. Boissonnat, R. Dyer, A. Ghosh, S. Y. Oudot.

    Only distances are required to reconstruct submanifolds, in: Computational Geometry, 2017, vol. 66, pp. 32 - 67. [ DOI : 10.1016/j.comgeo.2017.08.001 ]

    https://hal.inria.fr/hal-01583086
  • 4J.-D. Boissonnat, K. C. Srikanta, S. Tavenas.

    Building Efficient and Compact Data Structures for Simplicial Complexe, in: Algorithmica, September 2016. [ DOI : 10.1007/s00453-016-0207-y ]

    https://hal.inria.fr/hal-01364648
  • 5F. Chazal, D. Cohen-Steiner, A. Lieutier.

    A Sampling Theory for Compact Sets in Euclidean Space, in: Discrete Comput. Geom., 2009, vol. 41, no 3, pp. 461–479.

    http://dx.doi.org/10.1007/s00454-009-9144-8
  • 6F. Chazal, D. Cohen-Steiner, Q. Mérigot.

    Geometric Inference for Measures based on Distance Functions, in: Foundations of Computational Mathematics, 2011, vol. 11, no 6, pp. 733-751, RR-6930. [ DOI : 10.1007/s10208-011-9098-0 ]

    http://hal.inria.fr/inria-00383685
  • 7F. Chazal, S. Y. Oudot, M. Glisse, V. De Silva.

    The Structure and Stability of Persistence Modules, SpringerBriefs in Mathematics, Springer Verlag, 2016, VII, 116 p.

    https://hal.inria.fr/hal-01330678
  • 8L. J. Guibas, S. Y. Oudot, P. Skraba, F. Chazal.

    Persistence-Based Clustering in Riemannian Manifolds, in: Journal of the ACM, November 2013, vol. 60, no 6, 38 p.

    http://hal.archives-ouvertes.fr/hal-00923563
  • 9M. Mandad, D. Cohen-Steiner, L. Kobbelt, P. Alliez, M. Desbrun.

    Variance-Minimizing Transport Plans for Inter-surface Mapping, in: ACM Transactions on Graphics, 2017, vol. 36, 14 p. [ DOI : 10.1145/3072959.3073671 ]

    https://hal.inria.fr/hal-01519006
  • 10S. Y. Oudot.

    Persistence Theory: From Quiver Representations to Data Analysis, Mathematical Surveys and Monographs, American Mathematical Society, 2015, no 209, 218 p.

    https://hal.inria.fr/hal-01247501
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

International Conferences with Proceedings

  • 28B. Beaufils, F. Chazal, M. Grelet, B. Michel.

    Robust pedestrian trajectory reconstruction from inertial sensor, in: IPIN 2019 - 10th International Conference on Indoor Positioning and Indoor Navigation, Pisa, Italy, 2019.

    https://hal.inria.fr/hal-02271580
  • 29J.-D. Boissonnat, O. Devillers, K. Dutta, M. Glisse.

    Randomized incremental construction of Delaunay triangulations of nice point sets, in: ESA 2019 - 27th Annual European Symposium on Algorithms, Munich, Germany, September 2019. [ DOI : 10.4230/LIPIcs.ESA.2019.22 ]

    https://hal.inria.fr/hal-02185566
  • 30J.-D. Boissonnat, S. Pritam.

    Computing Persistent Homology of Flag Complexes via Strong Collapses, in: SoCG 2019 - International Symposium on Computational geometry, Portland, United States, April 2019. [ DOI : 10.4230/LIPIcs.SoCG.2019.55 ]

    https://hal.inria.fr/hal-02078311
  • 31M. Kerber, M. Lesnick, S. Y. Oudot.

    Exact computation of the matching distance on 2-parameter persistence modules, in: International Symposium on Computational Geometry, Portland, Oregon, United States, 2019, https://arxiv.org/abs/1812.09085.

    https://hal.inria.fr/hal-01966666
  • 32J. Kim, J. Shin, A. Rinaldo, L. Wasserman.

    Uniform Convergence of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension, in: Thirty-sixth International Conference on Machine Learning (ICML 2019), Long Beach, United States, Proceedings of Thirty-sixth International Conference on Machine Learning (ICML 2019), 2019, vol. 97, https://arxiv.org/abs/1810.05935 - 51 pages.

    https://hal.inria.fr/hal-02404295

Conferences without Proceedings

  • 33H. Anai, F. Chazal, M. Glisse, Y. Ike, H. Inakoshi, R. Tinarrage, Y. Umeda.

    DTM-based Filtrations, in: SoCG 2019 - 35th International Symposium on Computational Geometry, Portland, United States, June 2019, https://arxiv.org/abs/1811.04757 - This version is an extended abstract. The complete version of the paper, including proofs and additional comments, can be found at https://arxiv.org/abs/1811.04757. [ DOI : 10.4230/LIPIcs.SoCG.2019.58 ]

    https://hal.archives-ouvertes.fr/hal-02093445

Scientific Books (or Scientific Book chapters)

  • 34H. Kannan, N. Komodakis, N. Paragios.

    Tighter continuous relaxations for MAP inference in discrete MRFs: A survey, in: Handbook of Numerical Analysis: Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, pages 351 - 400, Elsevier, https://www.sciencedirect.com/science/article/pii/S1570865919300092, Elsevier, October 2019. [ DOI : 10.1016/bs.hna.2019.06.001 ]

    https://hal.inria.fr/hal-02432873
  • 35C. Maria, H. Schreiber.

    Discrete Morse Theory for Computing Zigzag Persistence, in: Algorithms and Data Structures - 16th International Symposium, WADS 2019, Edmonton, AB, Canada, August 5-7, 2019, Proceedings, Z. Friggstad, J.-R. Sack, M. R. Salavatipour (editors), Springer, July 2019, pp. 538-552, https://arxiv.org/abs/1807.05172. [ DOI : 10.1007/978-3-030-24766-9_39 ]

    https://hal.inria.fr/hal-01971682

Internal Reports

Other Publications