Umberto Villa
Orcid: 0000-0002-5142-2559
According to our database1,
Umberto Villa
authored at least 37 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
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
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
Comput. Math. Appl., 2022
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
CoRR, 2021
Parallel Element-based Algebraic Multigrid for H(curl) and H(div) Problems Using the ParELAG Library.
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
Proceedings of the Computational Imaging XVIII, Burlingame, 2020
2019
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
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
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
SIAM J. Sci. Comput., 2013
ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier-Stokes equations.
J. Comput. Phys., 2013
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