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Noemi Petra
ORCID
Publication Activity (10 Years)
Years Active: 2011-2023
Publications (10 Years): 13
Top Topics
Inverse Problems
Top Venues
CoRR
SIAM J. Sci. Comput.
SIAM/ASA J. Uncertain. Quantification
ACM Trans. Math. Softw.
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Publications
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Ki-Tae Kim
,
Umberto Villa
,
Matthew D. Parno
,
Youssef M. Marzouk
,
Omar Ghattas
,
Noemi Petra
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
ACM Trans. Math. Softw.
49 (2) (2023)
Tucker Hartland
,
Georg Stadler
,
Mauro Perego
,
Kim Liegeois
,
Noemi Petra
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton.
CoRR
(2023)
Cosmin G. Petra
,
Miguel A. Salazar de Troya
,
Noemi Petra
,
Youngsoo Choi
,
Geoffrey M. Oxberry
,
Daniel A. Tortorelli
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations.
Optim. Methods Softw.
38 (1) (2023)
Nick Alger
,
Tucker Hartland
,
Noemi Petra
,
Omar Ghattas
Point spread function approximation of high rank Hessians with locally supported non-negative integral kernels.
CoRR
(2023)
Alen Alexanderian
,
Ruanui Nicholson
,
Noemi Petra
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty.
CoRR
(2022)
Umberto Villa
,
Noemi Petra
,
Omar Ghattas
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.
47 (2) (2021)
Ki-Tae Kim
,
Umberto Villa
,
Matthew Parno
,
Youssef Marzouk
,
Omar Ghattas
,
Noemi Petra
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
CoRR
(2021)
Alen Alexanderian
,
Noemi Petra
,
Georg Stadler
,
Isaac Sunseri
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
9 (1) (2021)
Umberto Villa
,
Noemi Petra
,
Omar Ghattas
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference.
CoRR
(2019)
Umberto Villa
,
Noemi Petra
,
Omar Ghattas
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems.
J. Open Source Softw.
3 (30) (2018)
Alen Alexanderian
,
Noemi Petra
,
Georg Stadler
,
Omar Ghattas
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations.
SIAM/ASA J. Uncertain. Quantification
5 (1) (2017)
Alen Alexanderian
,
Noemi Petra
,
Georg Stadler
,
Omar Ghattas
A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems.
SIAM J. Sci. Comput.
38 (1) (2016)
Tobin Isaac
,
Noemi Petra
,
Georg Stadler
,
Omar Ghattas
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.
296 (2015)
Alen Alexanderian
,
Noemi Petra
,
Georg Stadler
,
Omar Ghattas
-Sparsification.
SIAM J. Sci. Comput.
36 (5) (2014)
Noemi Petra
,
James Martin
,
Georg Stadler
,
Omar Ghattas
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.
36 (4) (2014)
Noemi Petra
,
John Zweck
,
Susan E. Minkoff
,
Anatoliy Kosterev
,
James H. Doty III
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor.
SIAM J. Appl. Math.
71 (1) (2011)