Alireza Doostan - Citegraph

Author Info

Name	Affiliation	Papers
ALIREZA DOOSTAN	Mechanical Engineering Department, Stanford University, Stanford, CA 94305, USA	22
Collaborators	Citations	PageRank
32	188	15.57
Referers	Referees	References
333	251	204

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100333

Publications (22 rows)

Collaborators (32 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Neural network training using ℓ1-regularization and bi-fidelity data	0	0.34	2022
Task-parallel in situ temporal compression of large-scale computational fluid dynamics data	0	0.34	2022
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence.	1	0.37	2020
Pass-efficient methods for compression of high-dimensional turbulent flow data	0	0.34	2020
Level Set Methods for Stochastic Discontinuity Detection in Nonlinear Problems.	0	0.34	2019
Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach.	0	0.34	2019
Basis adaptive sample efficient polynomial chaos (BASE-PC).	3	0.67	2018
Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction.	1	0.37	2018
Time-dependent global sensitivity analysis with active subspaces for a lithium ion battery model.	2	0.44	2017
Optimization via separated representations and the canonical tensor decomposition.	0	0.34	2017
A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems.	2	0.40	2017
On polynomial chaos expansion via gradient-enhanced ℓ1-minimization.	0	0.34	2016
A well-posed and stable stochastic Galerkin formulation of the incompressible Navier-Stokes equations with random data.	1	0.35	2016
Randomized Alternating Least Squares for Canonical Tensor Decompositions: Application to A PDE With Random Data.	4	0.42	2016
A weighted l1-minimization approach for sparse polynomial chaos expansions.	27	1.02	2014
Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations	0	0.34	2014
Smoothed aggregation algebraic multigrid for stochastic PDE problems with layered materials.	2	0.41	2014
A non-adapted sparse approximation of PDEs with stochastic inputs	79	3.20	2011
A simplified model for seismic response prediction of concentrically braced frames	1	0.43	2010
Padé-Legendre approximants for uncertainty analysis with discontinuous response surfaces	8	1.19	2009
A least-squares approximation of partial differential equations with high-dimensional random inputs	33	1.79	2009
On the construction and analysis of stochastic models: characterization and propagation of the errors associated with limited data	24	1.82	2006