Umberto Villa
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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
U Villa, N Petra, O Ghattas
ACM Transactions on Mathematical Software (TOMS) 47 (2), 1-34, 2021
Validation of an open source framework for the simulation of blood flow in rigid and deformable vessels
A Quaini
hIPPYlib: An extensible software framework for large-scale inverse problems
U Villa, N Petra, O Ghattas
Journal of Open Source Software 3 (30), 2018
Accelerometer-based physical activity levels among Mexican adults and their relation with sociodemographic characteristics and BMI: a cross-sectional study
D Salvo, C Torres, U Villa, JA Rivera, OL Sarmiento, RS Reis, M Pratt
International Journal of Behavioral Nutrition and Physical Activity 12, 1-11, 2015
A mixed formulation for the Brinkman problem
P Vassilevski, U Villa
SIAM J. Numer. Anal. 52 (1), 258–281, 2014
Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty
P Chen, U Villa, O Ghattas
Journal of Computational Physics 385, 163-186, 2019
Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs
T O’Leary-Roseberry, U Villa, P Chen, O Ghattas
Computer Methods in Applied Mechanics and Engineering 388, 114199, 2022
Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems
P Chen, U Villa, O Ghattas
Computer Methods in Applied Mechanics and Engineering 327, 147-172, 2017
A block-diagonal algebraic multigrid preconditioner for the Brinkman problem
PS Vassilevski, U Villa
SIAM Journal on Scientific Computing 35 (5), S3-S17, 2013
ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier–Stokes equations
A Veneziani, U Villa
Journal of Computational Physics 238, 359-375, 2013
Experiences with target-platform heterogeneity in clouds, grids, and on-premises resources
J Slawinski, T Passerini, U Villa, A Veneziani, V Sunderam
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
3-D stochastic numerical breast phantoms for enabling virtual imaging trials of ultrasound computed tomography
F Li, U Villa, S Park, MA Anastasio
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 69 …, 2021
A multilevel, hierarchical sampling technique for spatially correlated random fields
S Osborn, PS Vassilevski, U Villa
SIAM Journal on Scientific Computing 39 (5), S543-S562, 2017
A predictive discrete-continuum multiscale model of plasticity with quantified uncertainty
J Tan, U Villa, N Shamsaei, S Shao, HM Zbib, D Faghihi
International Journal of Plasticity 138, 102935, 2021
Multifidelity probability estimation via fusion of estimators
B Kramer, AN Marques, B Peherstorfer, U Villa, K Willcox
Journal of Computational Physics 392, 385-402, 2019
Upscaling of mixed finite element discretization problems by the spectral AMGe method
DZ Kalchev, CS Lee, U Villa, Y Efendiev, PS Vassilevski
SIAM Journal on Scientific Computing 38 (5), A2912-A2933, 2016
Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty
O Babaniyi, R Nicholson, U Villa, N Petra
The Cryosphere 15 (4), 1731-1750, 2021
Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes
S Osborn, P Zulian, T Benson, U Villa, R Krause, PS Vassilevski
Numerical Linear Algebra with Applications 25 (3), e2146, 2018
Nonlinear multigrid solvers exploiting AMGe coarse spaces with approximation properties
M la Cour Christensen, PS Vassilevski, U Villa
Journal of Computational and Applied Mathematics 340, 691-708, 2018
A data scalable augmented Lagrangian KKT preconditioner for large-scale inverse problems
N Alger, U Villa, T Bui-Thanh, O Ghattas
SIAM Journal on Scientific Computing 39 (5), A2365-A2393, 2017
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