Matt Jacobs

19 papers Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Asymptotic Linear Convergence of ADMM for Isotropic TV Norm Compressed Sensing.
CoRR
Emmanuel Gil Torres, Matt Jacobs, Xiangxiong Zhang
2025 J jnl
Guaranteeing Higher Order Convergence Rates for Accelerated Wasserstein Gradient Flow Schemes.
CoRR
Raymond Chu, Matt Jacobs
2025 J jnl
Lagrangian Solutions to the Porous Media Equation and Reaction Diffusion Systems.
SIAM J. Math. Anal.
Matt Jacobs
2025 J jnl
Optimal transport of linear systems over equilibrium measures.
Autom.
Karthik Elamvazhuthi, Matt Jacobs
2024 J jnl
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification.
CoRR
Nicolás García Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski
2024 J jnl
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification.
J. Mach. Learn. Res.
Nicolás García Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski
2023 J jnl
Existence of Solutions to Reaction Cross Diffusion Systems.
SIAM J. Math. Anal.
Matt Jacobs
2023 J jnl
It begins with a boundary: A geometric view on probabilistically robust learning.
CoRR
Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang
2023 J jnl
On the existence of solutions to adversarial training in multiclass classification.
CoRR
Nicolás García Trillos, Matt Jacobs, Jakwang Kim
2023 J jnl
Optimal Transport of Linear Systems over Equilibrium Measures.
CoRR
Karthik Elamvazhuthi, Matt Jacobs
2023 J jnl
The multimarginal optimal transport formulation of adversarial multiclass classification.
J. Mach. Learn. Res.
Nicolás García Trillos, Matt Jacobs, Jakwang Kim
2022 J jnl
The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification.
CoRR
Nicolás García Trillos, Matt Jacobs, Jakwang Kim
2020 J jnl
A fast approach to optimal transport: the back-and-forth method.
Numerische Mathematik
Matt Jacobs, Flavien Léger
2020 J jnl
The back-and-forth method for Wasserstein gradient flows.
CoRR
Matt Jacobs, Wonjun Lee, Flavien Léger
2019 J jnl
Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size.
SIAM J. Numer. Anal.
Matt Jacobs, Flavien Léger, Wuchen Li, Stanley J. Osher
2018 J jnl
Auction dynamics: A volume constrained MBO scheme.
J. Comput. Phys.
Matt Jacobs, Ekaterina Merkurjev, Selim Esedoglu
2017 — conf
A Fast MBO Scheme for Multiclass Data Classification.
SSVM
Matt Jacobs
2017 J jnl
Convolution Kernels and Stability of Threshold Dynamics Methods.
SIAM J. Numer. Anal.
Selim Esedoglu, Matt Jacobs
2017 J jnl
Kernels with prescribed surface tension & mobility for threshold dynamics schemes.
J. Comput. Phys.
Selim Esedoglu, Matt Jacobs, Pengbo Zhang