Speakers

Created by Dinoj Surendran

To date (September, 2007) the following have accepted.

• Nina Amenta, U of California, Davis
  Manifold Reconstruction With The MLS Surface

• Sanjeev Arora, Princeton
  Semidefinite Programming and Graph Partitioning Problems

• Dominique Attali, Grenoble
  Size of Delaunay Triangulation For Points Distributed Over Lower-Dimensional Polyhedra

• Misha Belkin, Ohio State
  Laplacian and Spectral Methods for Data Analysis

• Gunnar Carlsson, Stanford
  Topological Methods In Data Analysis

• Frederic Chazal, INRIA, France
  Sampling and Topological Inference For General Shapes

• David Cohen-Steiner, INRIA, France
  Stability of Boundary Measures

• Sanjoy Dasgupta, San Diego
  The Random Projection Trees and Low-Dimensional Manifolds

• Vin de Silva,Pomona College
  Estimating the Cluster Tree of a Density

• Tamal Dey, Ohio State
  Voronoi Diagrams In Estimating Geometry and Topology From Data

• Tom Duchamp, U of Washington
  Manifold Estimation

• Leonidas Guibas, Stanford
  Reconstruction Using Witness Complexes

• Andre Lieutier, Aix-en-Provence, France
  Stability and Computation of Topological Invariants of Solids in R^n From Approximations

• Mauro Maggioni, Duke
  Analysis of and on Data Sets Through Diffusion Operators

• Yuriy Mileyko, Duke
  L_p-Stability of Persistence of Lipschitz Functions

• Sayan Mukherjee, Duke
  Predictive Models That Infer Structure and DependenciesA

• Partha Niyogi, University of Chicago
  A Geometric Perspective on Learning Algorithms

• Stephen Smale, Toyota Technical Insitute-Chicago
  Thoughts and Perspectives on the Topology of Data

• Werner Stuetzle, U of Washington
  Estimating the Cluster Tree of a Density

• Santosh Vempala, Georgia Tech
  The Best Manifold Problem: Formulation, Hardness and a Conjecture.

• Shmuel Weinberger, Chicago
  Computing Homological Invariants From Noisy Data

• Keith Worsley, McGill
  The Geometry of Random Fields in Astrophysics and Brain Mapping