Ryan Murray

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Uniform Convergence

Differential Equations

Active Learning Framework

Top Venues

Publications

Rachel Morris, Ryan Murray
Uniform Convergence of Adversarially Robust Classifiers. CoRR (2024)
Kevin Miller, Ryan Murray
Dirichlet Active Learning. CoRR (2023)
Martin Molina-Fructuoso, Ryan Murray
Eikonal depth: an optimal control approach to statistical depths. CoRR (2022)
Nicolás García Trillos, Ryan Murray, Matthew Thorpe
Rates of Convergence for Regression with the Graph Poly-Laplacian. CoRR (2022)
Leon Bungert, Nicolás García Trillos, Ryan Murray
The Geometry of Adversarial Training in Binary Classification. CoRR (2021)
Martin Molina-Fructuoso, Ryan Murray
Tukey Depths and Hamilton-Jacobi Differential Equations. CoRR (2021)
Nicolás García Trillos, Ryan Murray, Matthew Thorpe
From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds. CoRR (2020)
Nicolás García Trillos, Ryan Murray
Adversarial Classification: Necessary conditions and geometric flows. CoRR (2020)
Nicolás García Trillos, Ryan Murray
A maximum principle argument for the uniform convergence of graph Laplacian regressors. CoRR (2019)
Antonis Michalas, Ryan Murray
Keep Pies Away from Kids: A Raspberry Pi Attacking Tool. IoT S&P@CCS (2017)