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20152026
most citedEfficient Algorithms for t-distributed Stochastic Neighborhood Embedding

607 citations · 817 across the 43 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

math-ph2023

Integral formulation of Dirac singular waveguides

Guillaume Bal, Jeremy Hoskins, Solomon Quinn +1

This paper concerns a boundary integral formulation for the two-dimensional massive Dirac equation. The mass term is assumed to jump across a one-dimensional interface, which model…

math.NA2023

On quadrature for singular integral operators with complex symmetric quadratic forms

Jeremy Hoskins, Manas Rachh, Bowei Wu

This paper describes a trapezoidal quadrature method for the discretization of weakly singular, singular and hypersingular boundary integral operators with complex symmetric quadra…

physics.flu-dyn2023

Cytoplasmic stirring by active carpets

Brato Chakrabarti, Stanislav Y. Shvartsman, Michael J. Shelley

Large cells often rely on cytoplasmic flows for intracellular transport, maintaining homeostasis, and positioning cellular components. Understanding the mechanisms of these flows i…

math.NA2023

Random walks in frequency and the reconstruction of obstacles with cavities from multi-frequency data

Travis Askham, Carlos Borges, Jeremy Hoskins +1

Inverse obstacle scattering is the recovery of an obstacle boundary from the scattering data produced by incident waves. This shape recovery can be done by iteratively solving a PD…

math.NA2023

Fast adaptive high-order integral equation methods for electromagnetic scattering from smooth perfect electric conductors

Felipe Vico, Leslie Greengard, Michael O'Neil +1

Many integral equation-based methods are available for problems of time-harmonic electromagnetic scattering from perfect electric conductors. Among the many challenges that arise i…

math.NA2023

Uniform approximation of common Gaussian process kernels using equispaced Fourier grids

Alex Barnett, Philip Greengard, Manas Rachh

The high efficiency of a recently proposed method for computing with Gaussian processes relies on expanding a (translationally invariant) covariance kernel into complex exponential…

math.NA2023

A new version of the adaptive fast Gauss transform for discrete and continuous sources

Leslie Greengard, Shidong Jiang, Manas Rachh +1

We present a new version of the fast Gauss transform (FGT) for discrete and continuous sources. Classical Hermite expansions are avoided entirely, making use only of the plane-wave…