31 citations · 81 across the 9 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2022★ 4 cited
Tensor Moments of Gaussian Mixture Models: Theory and Applications
João M. Pereira, Joe Kileel, Tamara G. Kolda
Gaussian mixture models (GMMs) are fundamental tools in statistical and data sciences. We study the moments of multivariate Gaussians and GMMs. The -th moment of an -dimensio…
stat.ML2021
Modeling Extremes with d-max-decreasing Neural Networks
Ali Hasan, Khalil Elkhalil, Yuting Ng +4
We propose a novel neural network architecture that enables non-parametric calibration and generation of multivariate extreme value distributions (MEVs). MEVs arise from Extreme Va…
stat.ML2020
Identifying Latent Stochastic Differential Equations
Ali Hasan, João M. Pereira, Sina Farsiu +1
We present a method for learning latent stochastic differential equations (SDEs) from high-dimensional time series data. Given a high-dimensional time series generated from a lower…