4 citations · 6 across the 4 of their papers we have counts for
7 papers
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…
Landscape analysis of an improved power method for tensor decomposition
Joe Kileel, Timo Klock, João M. Pereira
In this work, we consider the optimization formulation for symmetric tensor decomposition recently introduced in the Subspace Power Method (SPM) of Kileel and Pereira. Unlike popul…
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means
Yuting Ng, João M. Pereira, Denis Garagic +1
Marine buoys aid in the battle against Illegal, Unreported and Unregulated (IUU) fishing by detecting fishing vessels in their vicinity. Marine buoys, however, may be disrupted by…
Learning Partial Differential Equations from Data Using Neural Networks
Ali Hasan, João M. Pereira, Robert Ravier +2
We develop a framework for estimating unknown partial differential equations from noisy data, using a deep learning approach. Given noisy samples of a solution to an unknown PDE, o…
Estimation in the group action channel
Emmanuel Abbe, João M. Pereira, Amit Singer
We analyze the problem of estimating a signal from multiple measurements on a $\mbox{group action channel}$ that linearly transforms a signal by a random group action followed by a…
Sample Complexity of the Boolean Multireference Alignment Problem
Emmanuel Abbe, Joao Pereira, Amit Singer
The Boolean multireference alignment problem consists in recovering a Boolean signal from multiple shifted and noisy observations. In this paper we obtain an expression for the err…