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08/04/2023
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields
We investigate the problem of estimating the structure of a weighted net...
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12/11/2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Stochastic gradient descent (SGD) is a cornerstone of machine learning. ...
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11/19/2021
Gaussian Determinantal Processes: a new model for directionality in data
Determinantal point processes (a.k.a. DPPs) have recently become popular...
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06/24/2021
Multi-Reference Alignment for sparse signals, Uniform Uncertainty Principles and the Beltway Problem
Motivated by cutting-edge applications like cryo-electron microscopy (cr...
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09/13/2020
Disordered complex networks: energy optimal lattices and persistent homology
Disordered complex networks are of fundamental interest as stochastic mo...
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10/03/2019
