Selected talks
The Gromov-Wasserstein distance and distributional invariants of datasets
- The Gromov-Hausdorff distance between spheres.Talk given in the 2021 Workshop: Topological Data Analysis - Theory and Applications
.
- Hierarchical clustering on asymmetric networks . Talk given during the IAS Workshop on Topology: Identifying Order in Complex Systems, 2015.
- Curvature Sets over Persistence Diagrams. Talk given during the SAMSI LDHD workshop, 2014. Slides: [pdf].
- Clasifying Clustering Schemes. Talk given during the 2014 IMA workshop on Topological Systems: Communication, Sensing, and Actuation.
- Curvature Sets over Persistence Diagrams. Talk given during the 2013 IMA Topological data analysis workshop at UMN.
- Persistent Homology and Metric Geometry. Talk given during the BIRS Topological data analysis and machine learning theory workshop help at Banff, October 2012.
- The classification of clustering schemes. Talk given at NICTA on Classifying Clustering Schemes
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Some ideas for formalizing clustering schemes.. Presented at NIPS 2009 workshop: "Clustering: theory or art?", December 2009.
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Some recent devolopments in the use of Gromov-Hausdorff and Gromov-Wasserstein metrics.. Presented at IMA-2009 workshop: Research in Imaging Sciences, October 2009.
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Multiparameter clustering algorithms. G.Carlsson and
F.Mémoli. Presented at IFCS 2009.
- Gromov-Wasserstein stable signatures for object matching and the role of persistence. TGDA workshop, Paris, July 2009.
- Gromov-Hausdorff stable signatures for shape matching using persistence. SGP 2009, Berlin, Germany. July 2009.
- Shape Matching using Gromov-Hausdorff
distances. Computer Vision group, CS-UC
Berkeley-2008.
- Gromov-Hausdorff distances in Euclidean spaces. NORDIA-CVPR-2008 (Alaska).
- Lp Gromov-Hausdorff distances for Shape Comparison. Hausdorff Center for Mathematics, University of Bonn. Workshop: "Geometry and Statistics of Shapes", June 2008.