Graph signal processing

  • Pierre Vandergheynst (EPFL)
    • David Hammond (postdoc 2007): assistant professor at Oregon Tech – Wilsonville, developed wavelet on graphs
    • Alexandre Alahi (PhD 2011): postdoc at Stanford vision lab (Fei-Fei Li, Karpathy), VisioSafe
    • Emmanuel d’Angelo (PhD 2012): Pix4D
    • David Shuman (postdoc 2013): assistant professor at Macalester College
    • Gilles Puy (PhD 2014): postdoc with Rémi Gribonval
  • Rémi Gribonval (IRISA): collaborated with Pierre
  • Antonio Ortega (USC): collaborated with Pierre
  • Ronald Coifman (Yale):
  • Mauro Maggioni (Duke): summer school 2015, manifold learning
  • José Moura (CMU): filters defined on adjacency matrix (instead of Laplacian), basically ignores our work
  • Kannan Ramchandran (UC Berkeley):

Deep learning

Machine learning

Mathematical optimization

Graph & Network analysis