Umberto Villa - RankMe

61 papers B 1Journal 56Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction With Gradient-Driven Denoisers. IEEE Trans. Computational Imaging Tao Hong, Umberto Villa, Jeffrey A. Fessler
2026	J	`jnl`	A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography. CoRR Kaiyi Yang, Seonyeong Park, Gangwon Jeong, Hsuan-Kai Huang, Alexander A. Oraevsky, Umberto Villa, Mark A. Anastasio
2026	J	`jnl`	Benchmarking Deep Learning-Based Reconstruction Methods for Photoacoustic Computed Tomography with Clinically Relevant Synthetic Datasets. CoRR Panpan Chen, Seonyeong Park, Gangwon Jeong, Refik Mert Çam, Umberto Villa, Mark A. Anastasio
2026	J	`jnl`	Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography With Hemispherical Measurement Geometries. IEEE Trans. Medical Imaging Panpan Chen, Seonyeong Park, Refik Mert Çam, Hsuan-Kai Huang, Alexander A. Oraevsky, Umberto Villa, Mark A. Anastasio
2025	J	`jnl`	Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative Photoacoustic Computed Tomography. CoRR Refik Mert Çam, Seonyeong Park, Umberto Villa, Mark A. Anastasio
2025	J	`jnl`	Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems? CoRR Evan Scope Crafts, Umberto Villa
2025	J	`jnl`	Democratizing uncertainty quantification. J. Comput. Phys. Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2025	J	`jnl`	Full-Wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography Using a Finite Element Method. IEEE Trans. Medical Imaging Yilin Luo, Hsuan-Kai Huang, Karteekeya Sastry, Peng Hu, Xin Tong, Joseph Kuo, Yousuf Abo Rahama, Shuai Na, Umberto Villa, Mark A. Anastasio, Lihong V. Wang
2025	J	`jnl`	Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology. CoRR Graham Pash, Umberto Villa, David A. Hormuth II, Thomas E. Yankeelov, Karen Willcox
2025	J	`jnl`	Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems. CoRR Ruanui Nicholson, Radoslav Vuchkov, Umberto Villa, Noemi Petra
2024	J	`jnl`	A note on the relationship between PDE-based precision operators and Matérn covariances. CoRR Umberto Villa, Thomas O'Leary-Roseberry
2024	J	`jnl`	Democratizing Uncertainty Quantification. CoRR Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl
2024	J	`jnl`	Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning. J. Comput. Phys. Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, Omar Ghattas
2024	J	`jnl`	Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. IEEE Trans. Computational Imaging Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa
2024	J	`jnl`	Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometries. CoRR Panpan Chen, Seonyeong Park, Refik Mert Çam, Hsuan-Kai Huang, Alexander A. Oraevsky, Umberto Villa, Mark A. Anastasio
2024	J	`jnl`	Optimizing Quantitative Photoacoustic Imaging Systems: The Bayesian Cramér-Rao Bound Approach. CoRR Evan Scope Crafts, Mark A. Anastasio, Umberto Villa
2024	J	`jnl`	Physics and Deep Learning in Computational Wave Imaging. CoRR Youzuo Lin, Shihang Feng, James Theiler, Yinpeng Chen, Umberto Villa, Jing Rao, John James Greenhall, Cristian Pantea, Mark A. Anastasio, Brendt Wohlberg
2024	J	`jnl`	ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction. IEEE Trans. Computational Imaging Luke Lozenski, Refik Mert Çam, Mark D. Pagel, Mark A. Anastasio, Umberto Villa
2024	J	`jnl`	SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python. J. Open Source Softw. Dingcheng Luo, Peng Chen, Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas
2023	J	`jnl`	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. IEEE Trans. Medical Imaging Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
2023	J	`jnl`	Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks. IEEE Trans. Medical Imaging Weimin Zhou, Umberto Villa, Mark A. Anastasio
2023	J	`jnl`	Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks. CoRR Weimin Zhou, Umberto Villa, Mark A. Anastasio
2023	J	`jnl`	Parallel Element-Based Algebraic Multigrid for \(\boldsymbol{H}\) (curl) and \(\boldsymbol{H}\) (div) Problems Using the ParELAG Library. SIAM J. Sci. Comput. Delyan Z. Kalchev, Panayot S. Vassilevski, Umberto Villa
2023	J	`jnl`	Technical Note: PDE-constrained Optimization Formulation for Tumor Growth Model Calibration. CoRR Baoshan Liang, Luke Lozenski, Umberto Villa, Danial Faghihi
2023	J	`jnl`	hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. ACM Trans. Math. Softw. Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2022	J	`jnl`	A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields. IEEE Trans. Computational Imaging Luke Lozenski, Mark A. Anastasio, Umberto Villa
2022	J	`jnl`	Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth. CoRR Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth II, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
2022	J	`jnl`	Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning. CoRR Thomas O'Leary-Roseberry, Peng Chen, Umberto Villa, Omar Ghattas
2022	J	`jnl`	Forward and inverse modeling of fault transmissibility in subsurface flows. Comput. Math. Appl. Jeonghun J. Lee, Tan Bui-Thanh, Umberto Villa, Omar Ghattas
2022	—	`conf`	Learned Hotelling observers for use with multi-modal data. Image Perception, Observer Performance, and Technology Assessment Jason L. Granstedt, Fu Li, Umberto Villa, Mark A. Anastasio
2022	J	`jnl`	Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems. CoRR Sayantan Bhadra, Umberto Villa, Mark A. Anastasio
2021	J	`jnl`	A Predictive Multiphase Model of Silica Aerogels for Building Envelope Insulations. CoRR Pedram Maleki, Jingye Tan, Lu An, Massimigliano Di Luigi, Umberto Villa, Chi Zhou, Shenqiang Ren, Danial Faghihi
2021	J	`jnl`	Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the Uncertainty. CoRR Amal Alghamdi, Marc Andre Hesse, Jingyi Chen, Umberto Villa, Omar Ghattas
2021	J	`jnl`	Consensus ADMM for Inverse Problems Governed by Multiple PDE Models. CoRR Luke Lozenski, Umberto Villa
2021	J	`jnl`	Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo. SIAM J. Sci. Comput. Hillary R. Fairbanks, Umberto Villa, Panayot S. Vassilevski
2021	J	`jnl`	Parallel Element-based Algebraic Multigrid for H(curl) and H(div) Problems Using the ParELAG Library. CoRR Delyan Z. Kalchev, Panayot S. Vassilevski, Umberto Villa
2021	J	`jnl`	hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty. CoRR Ki-Tae Kim, Umberto Villa, Matthew D. Parno, Youssef M. Marzouk, Omar Ghattas, Noemi Petra
2021	J	`jnl`	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. Umberto Villa, Noemi Petra, Omar Ghattas
2020	J	`jnl`	A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified Uncertainty. CoRR Jingye Tan, Umberto Villa, Nima Shamsaei, Shuai Shao, Hussein M. Zbib, Danial Faghihi
2020	J	`jnl`	Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs. CoRR Thomas O'Leary-Roseberry, Umberto Villa, Peng Chen, Omar Ghattas
2020	J	`jnl`	Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo. CoRR Hillary R. Fairbanks, Umberto Villa, Panayot S. Vassilevski
2020	—	`conf`	Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization. Computational Imaging Tao Ge, Umberto Villa, Ulugbek S. Kamilov, Joseph A. O'Sullivan
2019	J	`jnl`	Multifidelity probability estimation via fusion of estimators. CoRR Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox
2019	J	`jnl`	Multifidelity probability estimation via fusion of estimators. J. Comput. Phys. Boris Kramer, Alexandre Noll Marques, Benjamin Peherstorfer, Umberto Villa, Karen Willcox
2019	J	`jnl`	Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization. CoRR Tao Ge, Umberto Villa, Ulugbek S. Kamilov, Joseph A. O'Sullivan
2019	J	`jnl`	Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty. J. Comput. Phys. Peng Chen, Umberto Villa, Omar Ghattas
2019	J	`jnl`	hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian Inference. CoRR Umberto Villa, Noemi Petra, Omar Ghattas
2018	J	`jnl`	Nonlinear multigrid solvers exploiting AMGe coarse spaces with approximation properties. J. Comput. Appl. Math. Max la Cour Christensen, Panayot S. Vassilevski, Umberto Villa
2018	J	`jnl`	Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes. Numer. Linear Algebra Appl. Sarah Osborn, Patrick Zulian, Thomas Benson, Umberto Villa, Rolf Krause, Panayot S. Vassilevski
2018	J	`jnl`	hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems. J. Open Source Softw. Umberto Villa, Noemi Petra, Omar Ghattas
2017	J	`jnl`	A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems. SIAM J. Sci. Comput. Nick Alger, Umberto Villa, Tan Bui-Thanh, Omar Ghattas
2017	J	`jnl`	A Multilevel, Hierarchical Sampling Technique for Spatially Correlated Random Fields. SIAM J. Sci. Comput. Sarah Osborn, Panayot S. Vassilevski, Umberto Villa
2017	J	`jnl`	Numerical Multilevel Upscaling for Incompressible Flow in Reservoir Simulation: An Element-Based Algebraic Multigrid (AMGe) Approach. SIAM J. Sci. Comput. Max la Cour Christensen, Umberto Villa, Allan Peter Engsig-Karup, Panayot S. Vassilevski
2017	J	`jnl`	Platform and algorithm effects on computational fluid dynamics applications in life sciences. Future Gener. Comput. Syst. Sofia Guzzetti, Tiziano Passerini, Jaroslaw Slawinski, Umberto Villa, Alessandro Veneziani, Vaidy S. Sunderam
2016	J	`jnl`	Upscaling of Mixed Finite Element Discretization Problems by the Spectral AMGe Method. SIAM J. Sci. Comput. Delyan Kalchev, Chak Shing Lee, Umberto Villa, Yalchin Efendiev, Panayot S. Vassilevski
2014	J	`jnl`	A Mixed Formulation for the Brinkman Problem. SIAM J. Numer. Anal. Panayot S. Vassilevski, Umberto Villa
2014	B	`conf`	Experiences with Cost and Utility Trade-offs on IaaS Clouds, Grids, and On-Premise Resources. IC2E Tiziano Passerini, Jaroslaw Slawinski, Umberto Villa, Vaidy S. Sunderam
2013	J	`jnl`	A Block-Diagonal Algebraic Multigrid Preconditioner for the Brinkman Problem. SIAM J. Sci. Comput. Panayot S. Vassilevski, Umberto Villa
2013	J	`jnl`	ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier-Stokes equations. J. Comput. Phys. Alessandro Veneziani, Umberto Villa
2013	—	`conf`	Issues in Communication Heterogeneity for Message-Passing Concurrent Computing. IPDPS Workshops Jaroslaw Slawinski, Umberto Villa, Tiziano Passerini, Alessandro Veneziani, Vaidy S. Sunderam
2012	—	`conf`	Experiences with Target-Platform Heterogeneity in Clouds, Grids, and On-Premises Resources. IPDPS Workshops Jaroslaw Slawinski, Tiziano Passerini, Umberto Villa, Alessandro Veneziani, Vaidy S. Sunderam