Ryan Murray
RM
Education
PhD Mathematics Carnegie Mellon University 2016
Area(s) of Expertise
Calculus of variations, partial differential equations, theory of statistics and machine learning, control theory, optimization, game theory, continuum mechanics, applied analysis.
Publications
- On the long-time behavior of scale-invariant solutions to the 2d Euler equation and applications , Annales Scientifiques de l École Normale Supérieure (2025)
- Uniform convergence of adversarially robust classifiers , European Journal of Applied Mathematics (2025)
- Corrigendum to “Non-linear singularity formation for circular vortex sheets” , Quarterly of Applied Mathematics (2024)
- Eikonal depth: An optimal control approach to statistical depths , Foundations of Data Science (2024)
- Non-linear singularity formation for circular vortex sheets , Quarterly of Applied Mathematics (2023)
- Rates of convergence for regression with the graph poly-Laplacian , Sampling Theory Signal Processing and Data Analysis (2023)
- The geometry of adversarial training in binary classification , Information and Inference A Journal of the IMA (2023)
- Adversarial classification: Necessary conditions and geometric flows , Journal of Machine Learning Research (2022)
- From Graph Cuts to Isoperimetric Inequalities: Convergence Rates of Cheeger Cuts on Data Clouds , Archive for Rational Mechanics and Analysis (2022)
- Tukey Depths and Hamilton--Jacobi Differential Equations , SIAM Journal on Mathematics of Data Science (2022)