Geometric and Graph Data Analysis

Relevant Papers

  • Geometric Scattering on Manifolds. With Michael Perlmutter and Guy Wolf.
    • A short version of this paper appeared In the NeurIPS Workshop on Integration of Deep Learning Theories, Montreal, Canada, December 8, 2018 (contributed spotlight talk). pdf, NIPS DLTheory.
    • A longer version of this paper can be found here: pdfarXiv.
  • Geometric Scattering for Graph Data Analysis. With Feng Gao and Guy Wolf. 2019. pdf, arXiv.
  • Visualizing Transitions and Structure for High Dimensional Data Exploration (PHATE). With Kevin R. Moon, David van Dijk, Zheng Wang, Daniel Burkhardt, William Chen, Antonia van den Elzen, Ronald R. Coifman, Natalia B. Ivanova, Guy Wolf and Smita Krishnaswamy. 2017. pdf, bioRxiv.
  • Time Coupled Diffusion Maps. With Nicholas Marshall. Applied and Computational Harmonic Analysis, volume 45, issue 3, pages 709-728, 2018. pdf, arXiv, ScienceDirect.
  • A Diffusion-based Condensation Process for Multiscale Analysis of Single Cell Data. With Tobias Welp, Guy Wolf and Smita Krishnaswamy. In ICML Workshop Computational Biology, New York, June 24, 2016. 5 pages. pdfICML WCB.
  • Diffusion maps for changing data. With Ronald R. Coifman. Applied and Computational Harmonic Analysis, volume 36, issue 1, pages 79-107, January 2014. pdfarXivScienceDirectSoftware.
  • Bi-stochastic kernels via asymmetric affinity functions. With Ronald R. Coifman. Applied and Computational Harmonic Analysis, volume 35, issue 1, pages 177-180, July 2013. pdfarXivScienceDirect.
  • Frame based kernel methods for automatic classification in hyperspectral data. With John J. Benedetto, Wojciech Czaja and Justin C. Flake. In Proceedings of the IEEE 2009 International Geoscience and Remote Sensing Symposium, volume 4, pages 697-700, Cape Town, South Africa, July 12-17, 2009. pdfIEEE Xplore.