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Author

Umberto Villa

Observed names: U Villa, U. Villa, UMBERTO VILLA, Umberto E. Villa, Villa, Umberto, Villa, Umberto E.
Observed institutions: Argonne National Laboratory, Lawrence Livermore National Laboratory, Association for Computing Machinery, Emory University, University of California, Merced, Washington University in St. Louis, The University of Texas at Austin, Technical University of Denmark
ORCID: 0000-0002-5142-2559
Observed ORCID: 0000-0002-5142-2559
OpenAlex ID: A5083076229
hIPPYlib
2021 · Umberto Villa, Noemi Petra, et al. · ACM Transactions on Mathematical Software · 82
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Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs
2021 · Thomas O’Leary-Roseberry, Umberto Villa, et al. · Computer Methods in Applied Mechanics and Engineering · 62
Validation of an open source framework for the simulation of blood flow in rigid and deformable vessels
2013 · T. Passerini, A. Quaini, et al. · International Journal for Numerical Methods in Biomedical Engineering · 55
Heat-Resilient Schoolyards: Relations Between Temperature, Shade, and Physical Activity of Children During Recess
2022 · Kevin Lanza, Melody Alcazar, et al. · Journal of Physical Activity and Health · 54
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3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography
2021 · Fu Li, Umberto Villa, et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 51
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems
2018 · Umberto Villa, Noemi Petra, et al. · The Journal of Open Source Software · 51
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Accelerometer-based physical activity levels among Mexican adults and their relation with sociodemographic characteristics and BMI: a cross-sectional study
2015 · Deborah Salvo, Catalina Torres, et al. · International Journal of Behavioral Nutrition and Physical Activity · 50
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A Mixed Formulation for the Brinkman Problem
2014 · Panayot S. Vassilevski, Umberto Villa · SIAM Journal on Numerical Analysis · 47
Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty
2019 · Peng Chen, Umberto Villa, et al. · Journal of Computational Physics · 42
Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems
2017 · Peng Chen, Umberto Villa, et al. · Computer Methods in Applied Mechanics and Engineering · 36
Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning
2023 · Thomas O'Leary-Roseberry, Peng Chen, et al. · Journal of Computational Physics · 34
A predictive discrete-continuum multiscale model of plasticity with quantified uncertainty
2021 · Jingye Tan, Umberto Villa, et al. · International Journal of Plasticity · 31
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A Block-Diagonal Algebraic Multigrid Preconditioner for the Brinkman Problem
2013 · Panayot S. Vassilevski, Umberto Villa · SIAM Journal on Scientific Computing · 31
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Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty
2021 · Olalekan Babaniyi, Ruanui Nicholson, et al. · The Cryosphere · 29
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Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer
2023 · Seonyeong Park, Umberto Villa, et al. · Journal of Biomedical Optics · 27
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Multifidelity probability estimation via fusion of estimators
2019 · Boris Kramer, Alexandre Noll Marques, et al. · Journal of Computational Physics · 27
Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breast
2022 · Seonyeong Park, Frank J. Brooks, et al. · Journal of Biomedical Optics · 25
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A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields
2017 · Sarah Osborn, Panayot S. Vassilevski, et al. · SIAM Journal on Scientific Computing · 25
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ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier–Stokes equations
2013 · Alessandro Veneziani, Umberto Villa · Journal of Computational Physics · 20
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth
2023 · Baoshan Liang, Jingye Tan, et al. · IEEE Transactions on Medical Imaging · 19
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Bayesian Poroelastic Aquifer Characterization From InSAR Surface Deformation Data. 2. Quantifying the Uncertainty
2021 · Amal Alghamdi, Marc A. Hesse, et al. · Water Resources Research · 19
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hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference
2019 · Villa, Umberto, Petra, Noemi, et al. · arXiv (Cornell University) · 19
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A Forward Model Incorporating Elevation-Focused Transducer Properties for 3-D Full-Waveform Inversion in Ultrasound Computed Tomography
2023 · Fu Li, Umberto Villa, et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 18
Upscaling of Mixed Finite Element Discretization Problems by the Spectral AMGe Method
2016 · D. Z. Kalchev, C. S. Lee, et al. · SIAM Journal on Scientific Computing · 16
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Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography
2024 · Luke Lozenski, Hanchen Wang, et al. · IEEE Transactions on Computational Imaging · 15
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Works count: 171
Citation count: 1,271
H-index: 19
I10-index: 39
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