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20182020
most citedAdaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.SI20202 cited

Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks

Pau Batlle, Joan Bruna, Carlos Fernandez-Granda +1

We present a general framework for adaptive allocation of viral tests in social contact networks. We pose and solve several complementary problems. First, we consider the design of…

math.NA2020

A Sampling Theorem for Deconvolution in Two Dimensions

Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda

This work studies the problem of estimating a two-dimensional superposition of point sources or spikes from samples of their convolution with a Gaussian kernel. Our results show th…

cs.LG2019

Data-driven Estimation of Sinusoid Frequencies

Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda

Frequency estimation is a fundamental problem in signal processing, with applications in radar imaging, underwater acoustics, seismic imaging, and spectroscopy. The goal is to esti…

eess.SP2019

Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems

Brett Bernstein, Sheng Liu, Chrysa Papadaniil +1

Extracting information from nonlinear measurements is a fundamental challenge in data analysis. In this work, we consider separable inverse problems, where the data are modeled as…

cs.LG2018

A Learning-Based Framework for Line-Spectra Super-resolution

Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda

We propose a learning-based approach for estimating the spectrum of a multisinusoidal signal from a finite number of samples. A neural-network is trained to approximate the spectra…