ICIAM Minisymposium on Distance Metrics and Mass Transfer Between High Dimensional Point Clouds (July 17, 2019)

Alex Cloningr (UCSD) and I organized a minisymposium on "Distance Metrics and Mass Transfer Between High Dimensional Point Clouds" at ICIAM 19 in Valencia, Spain, on July 17, 2019.  Here, with the approval of the invited speakers, we provide their presentation files below (in the order of the actual presentations in the minisymposium) so that people can share our excitement on that day with us!

• Naoki Saito (UC Davis): "Graph wavelets via natural organization of Laplacian eigenvectors"
• Almog Lahav (Technion): "Optimal transport on manifolds for domain adaptation and metric learning"
• Dougal Sutherland (Univ. College London): "Kernel distances between distributions for generative models"
• Xiuyuan Cheng (Duke): "Anisotropic diffusion kernels to compare distributions"
• William Leeb (Univ. Minnesota): "Dual norms on product spaces"
• Ryo Karakida (National Inst. AIST): "Information geometry of entropy-regularized optimal transport"
• Sebastian Neumayer (TU Kaiserslautern): "Morphing of manifold-valued images inspired by discrete geodesics in image spaces"
• Rongjie Lai (Rensselaer Polytechnic Inst.): "Non-rigid manifolds matching via geometric modeling methods"
• Alex Cloninger (UCSD): "Local differences between distributions and distance measures"
• Mauro Maggioni (Johns Hopkins): "Multiscale methods for learning maps and optimal tranportation plans"
• Charlie Frogner (MIT): "Learning embeddings into entropic Wasserstein spaces"
• Giorgos Bouritsas (Imperial College London): "Learning to generate shapes with geometric deep learning"

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