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12/28/2020
Manifold learning with arbitrary norms
Manifold learning methods play a prominent role in nonlinear dimensional...
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10/20/2020
Wasserstein K-Means for Clustering Tomographic Projections
Motivated by the 2D class averaging problem in single-particle cryo-elec...
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10/19/2020
Product Manifold Learning
We consider problems of dimensionality reduction and learning data repre...
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09/10/2020
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics
We present a method for computing exact p-values for a large family of o...
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10/22/2019
Unsupervised particle sorting for high-resolution single-particle cryo-EM
Single-particle cryo-Electron Microscopy (EM) has become a popular techn...
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07/01/2019
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
Single-particle electron cryomicroscopy is an essential tool for high-re...
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01/25/2019
Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation
Cross-validation of predictive models is the de-facto standard for model...
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06/06/2018
Semiparametric Classification of Forest Graphical Models
We propose a new semiparametric approach to binary classification that e...
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11/07/2016