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02/14/2022
Tensor Moments of Gaussian Mixture Models: Theory and Applications
Gaussian mixture models (GMM) are fundamental tools in statistical and d...
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10/29/2021
Landscape analysis of an improved power method for tensor decomposition
In this work, we consider the optimization formulation for symmetric ten...
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02/17/2021
Deep Extreme Value Copulas for Estimation and Sampling
We propose a new method for modeling the distribution function of high d...
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07/12/2020
Learning latent stochastic differential equations with variational auto-encoders
We present a method for learning latent stochastic differential equation...
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01/02/2020
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
Marine buoys aid in the battle against Illegal, Unreported and Unregulat...
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12/09/2019
Subspace power method for symmetric tensor decomposition and generalized PCA
We introduce the Subspace Power Method (SPM) for decomposing symmetric e...
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10/22/2019
Learning Partial Differential Equations from Data Using Neural Networks
We develop a framework for estimating unknown partial differential equat...
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01/13/2018