Publications (96)
A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio Modeling
Anna K. Yanchenko, Mohammadreza Soltani, Robert J. Ravier +2
Understanding the features learned by deep models is important from a model trust perspective, especially as deep systems are deployed in the real world. Most recent approaches for…
Uniform Consistency of Generalized Fréchet Means
Andrea Aveni, Martin Bladt, Sayan Mukherjee
Loss-based notions of centre on nonlinear spaces range from the Fréchet mean and power means to the geometric median and, in a limiting sense, the Chebyshev centre. To use such su…
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma
Samuel I. Berchuck, Felipe A. Medeiros, Sayan Mukherjee
As big spatial data becomes increasingly prevalent, classical spatiotemporal (ST) methods often do not scale well. While methods have been developed to account for high-dimensional…
Locally Differentially Private Graph Clustering via the Power Iteration Method
Vorapong Suppakitpaisarn, Sayan Mukherjee
We propose a locally differentially private graph clustering algorithm. Previous works have explored this problem, including approaches that apply spectral clustering to graphs gen…
Ergodic Theorems for Dynamic Imprecise Probability Kinematics
Michele Caprio, Sayan Mukherjee
We formulate an ergodic theory for the (almost sure) limit of a sequence of successive dynam…
Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces
Samuel I. Berchuck, Mark Janko, Felipe A. Medeiros +2
We introduce a Bayesian non-parametric spatial factor analysis model with spatial dependency induced through a prior on factor loadings. For each column of the loadings matrix, spa…