@InProceedings{majhi:LIPIcs.SoCG.2024.73,
  author =	{Majhi, Sushovan},
  title =	{{Demystifying Latschev’s Theorem: Manifold Reconstruction from Noisy Data}},
  booktitle =	{40th International Symposium on Computational Geometry (SoCG 2024)},
  pages =	{73:1--73:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-316-4},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{293},
  editor =	{Mulzer, Wolfgang and Phillips, Jeff M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2024.73},
  URN =		{urn:nbn:de:0030-drops-200188},
  doi =		{10.4230/LIPIcs.SoCG.2024.73},
  annote =	{Keywords: Vietoris-Rips complex, submanifold reconstruction, manifold reconstruction, Latschev’s theorem, homotopy Equivalence}
}