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20142023
most citedEfficient Algorithms for t-distributed Stochastic Neighborhood Embedding

607 citations · 716 across the 24 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

math-ph2022

Integral formulation of Klein-Gordon singular waveguides

Guillaume Bal, Jeremy Hoskins, Solomon Quinn +1

We consider the analysis of singular waveguides separating insulating phases in two-space dimensions. The insulating domains are modeled by a massive Schrödinger equation and the s…

math.AP2022

Magnetic Schrödinger operators and landscape functions

Jeremy G. Hoskins, Hadrian Quan, Stefan Steinerberger

We study localization properties of low-lying eigenfunctions of magnetic Schrödinger operators where $V:Ω\rightarrow…

physics.optics2022★ 1 cited

Quantum electrodynamics of chiral waveguide arrays

Jeremy Hoskins, Manas Rachh, John C Schotland

We consider the quantum electrodynamics of a binary array of chiral waveguides, each containing many atoms. We show that the one-photon amplitude of a single-excitation state obeys…

math-ph2022

From pinned billiard balls to partial differential equations

Krzysztof Burdzy, Jeremy G. Hoskins, Stefan Steinerberger

We discuss the propagation of kinetic energy through billiard balls fixed in place along a one-dimensional segment. The number of billiard balls is assumed to be large but finite a…

math-ph2022★ 11 cited

Asymmetric transport computations in Dirac models of topological insulators

Guillaume Bal, Jeremy G Hoskins, Zhongjian Wang

This paper presents a fast algorithm for computing transport properties of two-dimensional Dirac operators with linear domain walls, which model the macroscopic behavior of the rob…

math.NA2022

On a linearization of quadratic Wasserstein distance

Philip Greengard, Jeremy G. Hoskins, Nicholas F. Marshall +1

This paper studies the problem of computing a linear approximation of quadratic Wasserstein distance . In particular, we compute an approximation of the negative homogeneous w…

math.AP2022

Analysis of the inverse Born series: an approach

Jeremy G Hoskins, John C Schotland

We analyze the convergence and approximation error of the inverse Born series, obtaining results that hold under qualitatively weaker conditions than previously known. Our approach…