activity
20142023
most citedEfficient Algorithms for t-distributed Stochastic Neighborhood Embedding

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

collaborators

28 papers

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-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…

math-ph2021

Analysis of single-excitation states in quantum optics

Jeremy Hoskins, Jason Kaye, Manas Rachh +1

In this paper we analyze the dynamics of single-excitation states, which model the scattering of a single photon from multiple two level atoms. For short times and weak atom-field…

stat.CO2021

Fast methods for posterior inference of two-group normal-normal models

Philip Greengard, Jeremy Hoskins, Charles C. Margossian +2

We describe a class of algorithms for evaluating posterior moments of certain Bayesian linear regression models with a normal likelihood and a normal prior on the regression coeffi…

math.NA2021★ 8 cited

A fast, high-order numerical method for the simulation of single-excitation states in quantum optics

Jeremy Hoskins, Jason Kaye, Manas Rachh +1

We consider the numerical solution of a nonlocal partial differential equation which models the process of collective spontaneous emission in a two-level atomic system containing a…

math.NA2021★ 1 cited

Committor functions via tensor networks

Yian Chen, Jeremy Hoskins, Yuehaw Khoo +1

We propose a novel approach for computing committor functions, which describe transitions of a stochastic process between metastable states. The committor function satisfies a back…

math.PR2020

Dynamics of zeroes under repeated differentiation

Jeremy Hoskins, Zakhar Kabluchko

Consider a random polynomial of degree whose roots are independent random variables sampled according to some probability distribution on the complex plane $\mathbb…

math.NA2020★ 1 cited

A fast adaptive algorithm for scattering from a two dimensional radially-symmetric potential

Jeremy Hoskins, Vladimir Rokhlin

In the present paper we describe a simple black box algorithm for efficiently and accurately solving scattering problems related to the scattering of time-harmonic waves from radia…

math.NA2020

On the inverse scattering problem for radially-symmetric domains in two dimensions

Abinand Gopal, Jeremy Hoskins, Vladimir Rokhlin

In the present paper we describe a method for solving inverse problems for the Helmholtz equation in radially-symmetric domains given multi-frequency data. Our approach is based on…

math.PR2020

A Semicircle Law for Derivatives of Random Polynomials

Jeremy G. Hoskins, Stefan Steinerberger

Let be independent and identically distributed random variables with mean zero, unit variance, and finite moments of all remaining orders. We study the random…

math.NA2020

On the discretization of Laplace's equation with Neumann boundary conditions on polygonal domains

Jeremy Hoskins, Manas Rachh

In the present paper we describe a class of algorithms for the solution of Laplace's equation on polygonal domains with Neumann boundary conditions. It is well known that in such c…

math.AP2019

Towards Optimal Gradient Bounds for the Torsion Function in the Plane

Jeremy G. Hoskins, Stefan Steinerberger

Let be a bounded, convex domain and let be the solution of vanishing on the boundary . The estimate $$ \| \nabla u\|_{L^{\infty}(Ω…

math.AP2019★ 1 cited

A Transport Model for Multi-Frequency Acousto-Optic Tomography

Francis J. Chung, Jeremy G. Hoskins, John C. Schotland

In a medium where the dielectric permittivity is perturbed in the presence of an acoustic wave, optical scattering generates frequency-shifted light. In this paper we consider the…

math.AP2019

A Note on the Transport Method for Hybrid Inverse Problems

Francis J. Chung, Jeremy G. Hoskins, John C. Schotland

There are several hybrid inverse problems for equations of the form in which we want to obtain the coefficients and on a domain when…

math.NA2019★ 2 cited

On the solution of Laplace's equation in the vicinity of triple-junctions

Jeremy Hoskins, Manas Rachh

In this paper we characterize the behavior of solutions to systems of boundary integral equations associated with Laplace transmission problems in composite media consisting of reg…

quant-ph2018★ 7 cited

Dimer chains in waveguide quantum electrodynamics

Imran M. Mirza, Jeremy G. Hoskins, John C. Schotland

We examine the propagation of single photons in periodic and disordered dimer chains coupled to one-dimensional chiral and bidirectional waveguides. Each dimer is composed of two d…

cs.SI2018★ 3 cited

Learning Networks from Random Walk-Based Node Similarities

Jeremy G. Hoskins, Cameron Musco, Christopher Musco +1

Digital presence in the world of online social media entails significant privacy risks. In this work we consider a privacy threat to a social network in which an attacker has acces…

cs.LG2017★ 607 cited

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

George C. Linderman, Manas Rachh, Jeremy G. Hoskins +2

t-distributed Stochastic Neighborhood Embedding (t-SNE) is a method for dimensionality reduction and visualization that has become widely popular in recent years. Efficient impleme…