Thomas O'Leary-Roseberry

Researcher, Oden Institute, University of Texas at Austin

Joined

November 2023

Names

Thomas O'Leary-Roseberry (Preferred)

Tom O'Leary-Roseberry

Emails

****@utexas.edu (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Researcher

Oden Institute, University of Texas at Austin (utexas.edu)

2021 – Present

Advisors, Relations & Conflicts

PhD Advisor

Omar Ghattas

2015 – 2020

Expertise

No areas of expertise listed

Publications

Verification and Validation for Trustworthy Scientific Machine Learning
John D. Jakeman, Lorena A. Barba, Joaquim R. R. A. Martins, Thomas O'Leary-Roseberry
- CoRR 2025
- Readers: Everyone
SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python
Dingcheng Luo, Peng Chen, Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas
- J. Open Source Softw. 2024
- Readers: Everyone
Fast Unconstrained Optimization via Hessian Averaging and Adaptive Gradient Sampling Methods
Thomas O'Leary-Roseberry, Raghu Bollapragada
- CoRR 2024
- Readers: Everyone
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning
Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, Omar Ghattas
- J. Comput. Phys. 2024
- Readers: Everyone
LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport
Lianghao Cao, Joshua Chen, Michael Brennan, Thomas O'Leary-Roseberry, Youssef M. Marzouk, Omar Ghattas
- CoRR 2024
- Readers: Everyone
Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC
Joseph Kirchhoff, Dingcheng Luo, Thomas O'Leary-Roseberry, Omar Ghattas
- CoRR 2024
- Readers: Everyone
Efficient geometric Markov chain Monte Carlo for nonlinear Bayesian inversion enabled by derivative-informed neural operators
Lianghao Cao, Thomas O'Leary-Roseberry, Omar Ghattas
- CoRR 2024
- Readers: Everyone
A note on the relationship between PDE-based precision operators and Matérn covariances
Umberto Villa, Thomas O'Leary-Roseberry
- CoRR 2024
- Readers: Everyone
Large-Scale Bayesian Optimal Experimental Design with Derivative-Informed Projected Neural Network
Keyi Wu, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas
- J. Sci. Comput. 2023
- Readers: Everyone
Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems
Lianghao Cao, Thomas O'Leary-Roseberry, Prashant K. Jha, J. Tinsley Oden, Omar Ghattas
- J. Comput. Phys. 2023
- Readers: Everyone

View all 17 publications