Omar Ghattas
Identifiers
- name variant Omar Ghattas 0.60 · backfill
Papers (25)
- Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design cs.DC · 2026 · author #3
- Real-time probabilistic tsunami forecasting in Cascadia from sparse offshore pressure observations physics.geo-ph · 2026 · author #5
- Accelerating High-Order Finite Element Simulations at Extreme Scale with FP64 Tensor Cores cs.DC · 2026 · author #7
- Sparse polynomial approximation for optimal control problems constrained by elliptic PDEs with lognormal random coefficients math.NA · 2019 · author #2
- Hessian-based sampling for high-dimensional model reduction math.NA · 2018 · author #2
- Sparse polynomial approximations for affine parametric saddle point problems math.NA · 2018 · author #2
- A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs math.NA · 2018 · author #3
- Scalable matrix-free adaptive product-convolution approximation for locally translation-invariant operators math.NA · 2018 · author #5
- Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty math.OC · 2018 · author #3
- Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems math.NA · 2017 · author #3
- A-optimal encoding weights for nonlinear inverse problems, with applications to the Helmholtz inverse problem math.OC · 2016 · author #4
- Research and Education in Computational Science and Engineering cs.CE · 2016 · author #10
- A data scalable augmented Lagrangian KKT preconditioner for large scale inverse problems math.NA · 2016 · author #4
- Mean-variance risk-averse optimal control of systems governed by PDEs with random parameter fields using quadratic approximations math.OC · 2016 · author #4
- A randomized maximum a posterior method for posterior sampling of high dimensional nonlinear Bayesian inverse problems stat.CO · 2016 · author #3
- A Fast and Scalable Method for A-Optimal Design of Experiments for Infinite-dimensional Bayesian Nonlinear Inverse Problems math.OC · 2014 · author #4
- Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet math.OC · 2014 · author #4
- On Bayesian A- and D-optimal experimental designs in infinite dimensions math.ST · 2014 · author #3
- Solution of nonlinear Stokes equations discretized by high-order finite elements on nonconforming and anisotropic meshes, with application to ice sheet dynamics cs.NA · 2014 · author #3
- Recursive Algorithms for Distributed Forests of Octrees cs.DC · 2014 · author #4
- Discretely exact derivatives for hyperbolic PDE-constrained optimization problems discretized by the discontinuous Galerkin method math.NA · 2013 · author #4
- A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems stat.ME · 2013 · author #4
- A-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized $\ell_0$-sparsification stat.CO · 2013 · author #4
- A computational framework for infinite-dimensional Bayesian inverse problems. Part I: The linearized case, with application to global seismic inversion math.NA · 2013 · author #2
- A Nested Partitioning Scheme for Parallel Heterogeneous Clusters cs.DC · 2013 · author #2
Mentions
- 1903.05547 #2 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1809.10255 #2 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1809.10251 #2 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1808.05441 #3 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1805.06018 #5 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1706.06692 #3 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1607.03556 #4 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1410.1221 #4 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1406.6573 #3 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1311.6900 #4 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1308.6221 #4 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1308.4084 #4 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1308.1313 #2 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1410.5899 #4 · backfill · confidence 0.70 Omar Ghattas
- 1410.1221 #4 · backfill · confidence 0.70 Omar Ghattas
- 1408.6323 #3 · backfill · confidence 0.70 Omar Ghattas
- 1406.6573 #3 · backfill · confidence 0.70 Omar Ghattas
- 1406.0089 #4 · backfill · confidence 0.70 Omar Ghattas
- 1311.6900 #4 · backfill · confidence 0.70 Omar Ghattas
- 2603.14966 #5 · arxiv_oai · confidence 0.70 Omar Ghattas
- 1308.6221 #4 · backfill · confidence 0.70 Omar Ghattas
- 1308.4084 #4 · backfill · confidence 0.70 Omar Ghattas
- 1308.1313 #2 · backfill · confidence 0.70 Omar Ghattas
- 1307.4731 #2 · backfill · confidence 0.70 Omar Ghattas
Frequent Coauthors
- Georg Stadler 10 shared papers
- Alen Alexanderian 5 shared papers
- Noemi Petra 5 shared papers
- Peng Chen 5 shared papers
- Tan Bui-Thanh 5 shared papers
- Stefan Henneking 3 shared papers
- Tobin Isaac 3 shared papers
- Umberto Villa 3 shared papers
- Benjamin Crestel 2 shared papers
- James Martin 2 shared papers
- Lucas C. Wilcox 2 shared papers
- Nick Alger 2 shared papers
- Sreeram Venkat 2 shared papers
- Aaron Myers 1 shared papers
- Alice-Agnes Gabriel 1 shared papers
- Anne Trefethen 1 shared papers
- Barbara Wohlmuth 1 shared papers
- Carol S. Woodward 1 shared papers
- Carsten Burstedde 1 shared papers
- Chris Johnson 1 shared papers