Noemi Petra

22 papers Journal 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
Democratizing uncertainty quantification.
J. Comput. Phys.
Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2025 J jnl
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems.
CoRR
Ruanui Nicholson, Radoslav Vuchkov, Umberto Villa, Noemi Petra
2024 J jnl
A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints.
CoRR
Tucker Hartland, Cosmin G. Petra, Noemi Petra, Jingyi Wang
2024 J jnl
Democratizing Uncertainty Quantification.
CoRR
Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2024 J jnl
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models.
Adv. Comput. Math.
Terrence Alsup, Tucker Hartland, Benjamin Peherstorfer, Noemi Petra
2024 J jnl
Point Spread Function Approximation of High-Rank Hessians with Locally Supported Nonnegative Integral Kernels.
SIAM J. Sci. Comput.
Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas
2023 J jnl
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton.
CoRR
Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra
2023 J jnl
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations.
Optim. Methods Softw.
Cosmin G. Petra, Miguel A. Salazar de Troya, Noemi Petra, Youngsoo Choi, Geoffrey M. Oxberry, Daniel A. Tortorelli
2023 J jnl
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels.
CoRR
Nick Alger, Tucker Hartland, Noemi Petra, Omar Ghattas
2023 J jnl
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
ACM Trans. Math. Softw.
Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2022 J jnl
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty.
CoRR
Alen Alexanderian, Ruanui Nicholson, Noemi Petra
2021 J jnl
Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know.
SIAM/ASA J. Uncertain. Quantification
Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri
2021 J jnl
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
CoRR
Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2021 J jnl
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs: Part I: Deterministic Inversion and Linearized Bayesian Inference.
ACM Trans. Math. Softw.
Umberto Villa, Noemi Petra, Omar Ghattas
2019 J jnl
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference.
CoRR
Umberto Villa, Noemi Petra, Omar Ghattas
2018 J jnl
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems.
J. Open Source Softw.
Umberto Villa, Noemi Petra, Omar Ghattas
2017 J jnl
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations.
SIAM/ASA J. Uncertain. Quantification
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2016 J jnl
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems.
SIAM J. Sci. Comput.
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2015 J jnl
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet.
J. Comput. Phys.
Tobin Isaac, Noemi Petra, Georg Stadler, Omar Ghattas
2014 J jnl
A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems.
SIAM J. Sci. Comput.
Noemi Petra, James Martin, Georg Stadler, Omar Ghattas
2014 J jnl
A-Optimal Design of Experiments for Infinite-Dimensional Bayesian Linear Inverse Problems with Regularized ℓ
SIAM J. Sci. Comput.
Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas
2011 J jnl
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor.
SIAM J. Appl. Math.
Noemi Petra, John Zweck, Susan E. Minkoff, Anatoliy Kosterev, James H. Doty III