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What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid

Related publications (27)

Finite free convolutions of polynomials

We study three convolutions of polynomials in the context of free probability theory. We prove that these convolutions can be written as the expected characteristic polynomials of sums and products of unitarily invariant random matrices. The symmetric addi ...

SPRINGER HEIDELBERG2022

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Alexandra Shelest

Eccentricity has emerged as a potentially useful tool for helping to identify the origin of black hole mergers. However, eccentric templates can be computationally very expensive owing to the large number of harmonics, making statistical analyses to distin ...

IOP Publishing Ltd2022

Waterborne virus transport and the associated risks in a large lake

Tamar Kohn, Xavier Fernandez Cassi, Chaojie Li, Timothy R. Julian

Waterborne enteric viruses in lakes, especially at recreational water sites, may have a negative impact on human health. However, their fate and transport in lakes are poorly understood. In this study, we propose a coupled water quality and quantitative mi ...

2022

The spectral bias of polynomial neural networks

Volkan Cevher, Grigorios Chrysos, Leello Tadesse Dadi, Moulik Choraria

Polynomial neural networks (PNNs) have been recently shown to be particularly effective at image generation and face recognition, where high-frequency information is critical. Previous studies have revealed that neural networks demonstrate a spectral bias ...

2022

Nuclear Excitation by Free Muon Capture

Fabrizio Carbone, Ivan Madan, Simone Gargiulo

Efficient excitation of nuclei via exchange of a real or virtual photon has a fundamental importance for nuclear science and technology development. Here, we present a mechanism of nuclear excitation based on the capture of a free muon into the atomic orbi ...

AMER PHYSICAL SOC2022

Effect of wastewater treatment and environmental exposure on an enterovirus population

Odile Marie Clotilde Hervás de Nalda-Larivé

The presence of viruses in recreational water can present a risk for human health and wastewater effluent is a source of virus in the environment. Their persistence in the environment influences their probability to find a new host. Studies have shown that ...

EPFL2022

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

In this work, the probability of an event under some joint distribution is bounded by measuring it with the product of the marginals instead (which is typically easier to analyze) together with a measure of the dependence between the two random variables. ...

2021

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Mehdi Gholam

Background Coercion in psychiatry is a controversial issue. Identifying its predictors and their interaction using traditional statistical methods is difficult, given the large number of variables involved. The purpose of this study was to use machine-lear ...

CAMBRIDGE UNIV PRESS2021

Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure

Davide Pradovera

Many engineering fields rely on frequency-domain dynamical systems for the mathematical modeling of physical (electrical/mechanical/etc.) structures. With the growing need for more accurate and reliable results, the computational burden incurred by frequen ...

EPFL2021

What’s the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid

Finite free convolutions of polynomials

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Waterborne virus transport and the associated risks in a large lake

The spectral bias of polynomial neural networks

Nuclear Excitation by Free Muon Capture

Effect of wastewater treatment and environmental exposure on an enterovirus population

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure

Graph Chatbot

Finite free convolutions of polynomials

An Efficient Signal-to-noise Approximation for Eccentric Inspiraling Binaries

Waterborne virus transport and the associated risks in a large lake

The spectral bias of polynomial neural networks

Nuclear Excitation by Free Muon Capture

Effect of wastewater treatment and environmental exposure on an enterovirus population

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

A Pareto Dominance Principle for Data-Driven Optimization

Model order reduction based on functional rational approximants for parametric PDEs with meromorphic structure

A Pareto Dominance Principle for Data-Driven Optimization