Matt Jacobs

According to our database, Matt Jacobs authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification.

Nicolás García Trillos, Matt Jacobs, Jakwang Kim, Matthew Werenski

CoRR, 2024

2023

Existence of Solutions to Reaction Cross Diffusion Systems.

Matt Jacobs

SIAM J. Math. Anal., December, 2023

The multimarginal optimal transport formulation of adversarial multiclass classification.

Nicolás García Trillos, Matt Jacobs, Jakwang Kim

J. Mach. Learn. Res., 2023

Optimal Transport of Linear Systems over Equilibrium Measures.

Karthik Elamvazhuthi, Matt Jacobs

CoRR, 2023

It begins with a boundary: A geometric view on probabilistically robust learning.

Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang

CoRR, 2023

On the existence of solutions to adversarial training in multiclass classification.

Nicolás García Trillos, Matt Jacobs, Jakwang Kim

CoRR, 2023

2020

A fast approach to optimal transport: the back-and-forth method.

Matt Jacobs, Flavien Léger

Numerische Mathematik, 2020

The back-and-forth method for Wasserstein gradient flows.

Matt Jacobs, Wonjun Lee, Flavien Léger

CoRR, 2020

2019

Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size.

Matt Jacobs, Flavien Léger, Wuchen Li, Stanley J. Osher

SIAM J. Numer. Anal., 2019

2018

Auction dynamics: A volume constrained MBO scheme.

Matt Jacobs, Ekaterina Merkurjev, Selim Esedoglu

J. Comput. Phys., 2018

2017

Convolution Kernels and Stability of Threshold Dynamics Methods.

Selim Esedoglu, Matt Jacobs

SIAM J. Numer. Anal., 2017

Kernels with prescribed surface tension & mobility for threshold dynamics schemes.

Selim Esedoglu, Matt Jacobs, Pengbo Zhang

J. Comput. Phys., 2017

A Fast MBO Scheme for Multiclass Data Classification.

Matt Jacobs

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017