Akopyan, Arseniy, and Herbert Edelsbrunner. “The Weighted Gaussian Curvature Derivative of a Space-Filling Diagram.”https://doi.org/10.1515/cmb-2020-0101__Computational and Mathematical Biophysics. De Gruyter, 2020.https://doi.org/10.1515/cmb-2020-0101 .
LibreCat: https://research-explorer.ista.ac.at/record/9156
DOI: 10.1515/cmb-2020-0101
arXiv: 1908.06777

Bauer, U., Herbert Edelsbrunner, Grzegorz Jablonski, and M. Mrozek. “cech-Delaunay Gradient Flow and Homology Inference for Self-Maps.”https://doi.org/10.1007/s41468-020-00058-8__Journal of Applied and Computational Topology. Springer Nature, 2020.https://doi.org/10.1007/s41468-020-00058-8 .
LibreCat: https://research-explorer.ista.ac.at/record/15064
DOI: 10.1007/s41468-020-00058-8

Dyer, Ramsay, Gert Vegter, and Mathijs Wintraecken. “Simplices Modelled on Spaces of Constant Curvature.”https://doi.org/10.20382/jocg.v10i1a9__Journal of Computational Geometry . Carleton University, 2019.https://doi.org/10.20382/jocg.v10i1a9 .
LibreCat: https://research-explorer.ista.ac.at/record/6515
DOI: 10.20382/jocg.v10i1a9

Vegter, Gert, and Mathijs Wintraecken. “The Extrinsic Nature of the Hausdorff Distance of Optimal Triangulations of Manifolds.” In The 31st Canadian Conference in Computational Geometry, 275–79, 2019.
LibreCat: https://research-explorer.ista.ac.at/record/6628

Edelsbrunner, Herbert, Ziga Virk, and Hubert Wagner. “Topological Data Analysis in Information Space.”https://doi.org/10.4230/LIPICS.SOCG.2019.31__In 35th International Symposium on Computational Geometry, 129:31:1-31:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019.https://doi.org/10.4230/LIPICS.SOCG.2019.31 .
LibreCat: https://research-explorer.ista.ac.at/record/6648
DOI: 10.4230/LIPICS.SOCG.2019.31
arXiv: 1903.08510