Jeremy G. Hoskins

According to our database, Jeremy G. Hoskins authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Random Walks in Frequency and the Reconstruction of Obstacles with Cavities from Multi-frequency Data.

Travis Askham, Carlos Borges, Jeremy G. Hoskins, Manas Rachh

J. Sci. Comput., January, 2024

Subspace method of moments for ab initio 3-D single-particle Cryo-EM reconstruction.

Jeremy G. Hoskins, Yuehaw Khoo, Oscar Mickelin, Amit Singer, Yuguan Wang

CoRR, 2024

Boundary Integral Formulations for Flexural Wave Scattering in Thin Plates.

Peter Nekrasov, Tim Su, Travis Askham, Jeremy G. Hoskins

CoRR, 2024

Coordinate complexification for the Helmholtz equation with Dirichlet boundary conditions in a perturbed half-space.

Charles L. Epstein, Leslie Greengard, Jeremy G. Hoskins, Shidong Jiang, Manas Rachh

CoRR, 2024

2023

Dynamics of Zeroes Under Repeated Differentiation.

Jeremy G. Hoskins, Zakhar Kabluchko

Exp. Math., October, 2023

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

Jeremy G. Hoskins, Jason Kaye, Manas Rachh, John C. Schotland

J. Comput. Phys., 2023

Committor functions via tensor networks.

Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey

J. Comput. Phys., 2023

Asymmetric transport computations in Dirac models of topological insulators.

Guillaume Bal, Jeremy G. Hoskins, Zhongjian Wang

J. Comput. Phys., 2023

Integral formulation of Dirac singular waveguides.

Guillaume Bal, Jeremy G. Hoskins, Solomon Quinn, Manas Rachh

CoRR, 2023

On quadrature for singular integral operators with complex symmetric quadratic forms.

Jeremy G. Hoskins, Manas Rachh, Bowei Wu

CoRR, 2023

2022

Integral formulation of Klein-Gordon singular waveguides.

Guillaume Bal, Jeremy G. Hoskins, Solomon Quinn, Manas Rachh

CoRR, 2022

Magnetic Schrödinger operators and landscape functions.

Jeremy G. Hoskins, Hadrian Quan, Stefan Steinerberger

CoRR, 2022

Generative modeling via tensor train sketching.

Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo

CoRR, 2022

On a linearization of quadratic Wasserstein distance.

Philip Greengard, Jeremy G. Hoskins, Nicholas F. Marshall, Amit Singer

CoRR, 2022

2020

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

Jeremy G. Hoskins, Manas Rachh

J. Comput. Phys. X, 2020

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

Jeremy G. Hoskins, Vladimir Rokhlin

CoRR, 2020

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

Jeremy G. Hoskins, Vladimir Rokhlin

CoRR, 2020

2019

On the Numerical Solution of Elliptic Partial Differential Equations on Polygonal Domains.

Jeremy G. Hoskins, Vladimir Rokhlin, Kirill Serkh

SIAM J. Sci. Comput., 2019

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

Jeremy G. Hoskins, Manas Rachh

CoRR, 2019

2018

Learning Networks from Random Walk-Based Node Similarities.

Jeremy G. Hoskins, Cameron Musco, Christopher Musco, Charalampos E. Tsourakakis

CoRR, 2018

Inferring Networks From Random Walk-Based Node Similarities.

Jeremy G. Hoskins, Cameron Musco, Christopher Musco, Babis Tsourakakis

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding.

George C. Linderman, Manas Rachh, Jeremy G. Hoskins, Stefan Steinerberger, Yuval Kluger

CoRR, 2017

2014

Diffuse Scattering on Graphs.

Anna C. Gilbert, Jeremy G. Hoskins, John C. Schotland

CoRR, 2014