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stat.ML2018
Geometric Scattering on Manifolds
Michael Perlmutter, Guy Wolf, Matthew Hirn
The Euclidean scattering transform was introduced nearly a decade ago to improve the mathematical understanding of the success of convolutional neural networks (ConvNets) in image…
math.PR2018
Large Deviations from the Hydrodynamic Limit for a System with Nearest Neighbor Interactions
Sayan Banerjee, Amarjit Budhiraja, Michael Perlmutter
We give a new proof of the large deviation principle from the hydrodynamic limit for the Ginzberg-Landau model studied in Donsker and Varadhan (1989) using techniques from the theo…