Umberto Villa

Orcid: 0000-0002-5142-2559

According to our database1, Umberto Villa authored at least 43 papers between 2012 and 2025.

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Bibliography

2025
Democratizing uncertainty quantification.
J. Comput. Phys., 2025

2024
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning.
J. Comput. Phys., January, 2024

Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography.
IEEE Trans. Computational Imaging, 2024

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction.
IEEE Trans. Computational Imaging, 2024

SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python.
J. Open Source Softw., 2024

Optimizing Quantitative Photoacoustic Imaging Systems: The Bayesian Cramér-Rao Bound Approach.
CoRR, 2024

Physics and Deep Learning in Computational Wave Imaging.
CoRR, 2024

A note on the relationship between PDE-based precision operators and Matérn covariances.
CoRR, 2024

Democratizing Uncertainty Quantification.
CoRR, 2024

2023
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks.
IEEE Trans. Medical Imaging, December, 2023

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth.
IEEE Trans. Medical Imaging, October, 2023

hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty.
ACM Trans. Math. Softw., June, 2023

Parallel Element-Based Algebraic Multigrid for \(\boldsymbol{H}\) (curl) and \(\boldsymbol{H}\) (div) Problems Using the ParELAG Library.
SIAM J. Sci. Comput., June, 2023

Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration.
CoRR, 2023

2022
A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields.
IEEE Trans. Computational Imaging, 2022

Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems.
CoRR, 2022

Forward and inverse modeling of fault transmissibility in subsurface flows.
Comput. Math. Appl., 2022

Learned Hotelling observers for use with multi-modal data.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021
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., 2021

Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo.
SIAM J. Sci. Comput., 2021

A Predictive Multiphase Model of Silica Aerogels for Building Envelope Insulations.
CoRR, 2021

Parallel Element-based Algebraic Multigrid for H(curl) and H(div) Problems Using the ParELAG Library.
CoRR, 2021

Consensus ADMM for Inverse Problems Governed by Multiple PDE Models.
CoRR, 2021

Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the Uncertainty.
CoRR, 2021

2020
A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified Uncertainty.
CoRR, 2020

Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs.
CoRR, 2020

Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization.
Proceedings of the Computational Imaging XVIII, Burlingame, 2020

2019
Multifidelity probability estimation via fusion of estimators.
J. Comput. Phys., 2019

Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty.
J. Comput. Phys., 2019

2018
Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes.
Numer. Linear Algebra Appl., 2018

hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems.
J. Open Source Softw., 2018

Nonlinear multigrid solvers exploiting AMGe coarse spaces with approximation properties.
J. Comput. Appl. Math., 2018

2017
A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields.
SIAM J. Sci. Comput., 2017

Numerical Multilevel Upscaling for Incompressible Flow in Reservoir Simulation: An Element-Based Algebraic Multigrid (AMGe) Approach.
SIAM J. Sci. Comput., 2017

A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems.
SIAM J. Sci. Comput., 2017

Platform and algorithm effects on computational fluid dynamics applications in life sciences.
Future Gener. Comput. Syst., 2017

2016
Upscaling of Mixed Finite Element Discretization Problems by the Spectral AMGe Method.
SIAM J. Sci. Comput., 2016

2014
A Mixed Formulation for the Brinkman Problem.
SIAM J. Numer. Anal., 2014

Experiences with Cost and Utility Trade-offs on IaaS Clouds, Grids, and On-Premise Resources.
Proceedings of the 2014 IEEE International Conference on Cloud Engineering, 2014

2013
A Block-Diagonal Algebraic Multigrid Preconditioner for the Brinkman Problem.
SIAM J. Sci. Comput., 2013

ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier-Stokes equations.
J. Comput. Phys., 2013

Issues in Communication Heterogeneity for Message-Passing Concurrent Computing.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
Experiences with Target-Platform Heterogeneity in Clouds, Grids, and On-Premises Resources.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012


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