Vahid Keshavarzzadeh

发表

Gradient based design optimization under uncertainty via stochastic expansion methods

D. Tortorelli, Vahid Keshavarzzadeh, H. Meidani, 2016 .

Designed quadrature to approximate integrals in maximum simulated likelihood estimation

P. Bansal, R. Daziano, Vahid Keshavarzzadeh, 2020, The Econometrics Journal.

Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology Optimization

Robert M. Kirby, Vahid Keshavarzzadeh, A. Narayan, 2022, 2205.03681.

Variational inference for nonlinear inverse problems via neural net kernels: Comparison to Bayesian neural networks, application to topology optimization

Robert M. Kirby, Vahid Keshavarzzadeh, A. Narayan, 2022, Computer Methods in Applied Mechanics and Engineering.

Machine Learning in Heterogeneous Porous Materials

Cedric G. Fraces, Robert M. Kirby, H. Viswanathan, 2022, ArXiv.

Shared-Gaussian Process: Learning Interpretable Shared Hidden Structure Across Data Spaces for Design Space Analysis and Exploration

Wei Xing, Shireen Elhabian, Robert M. Kirby, 2020 .

Robust Topology Optimization Using Variational Autoencoders pdf

Hadi Meidani, Mohammad Amin Nabian, Vahid Keshavarzzadeh, 2021, ArXiv.

Topology optimization under uncertainty via non-intrusive polynomial chaos expansion

Daniel A. Tortorelli, Vahid Keshavarzzadeh, Felipe Fernandez, 2017 .

A bandit-learning approach to multifidelity approximation

R. Kirby, Vahid Keshavarzzadeh, Yiming Xu, 2021, SIAM J. Sci. Comput..

Shape optimization under uncertainty for rotor blades of horizontal axis wind turbines

Daniel A. Tortorelli, Roger Ghanem, Vahid Keshavarzzadeh, 2019, Computer Methods in Applied Mechanics and Engineering.

Hybrid topology/shape optimization under uncertainty for actively-cooled nature-inspired microvascular composites

Ahmad R. Najafi, Vahid Keshavarzzadeh, Reza Pejman, 2021 .

Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model

Tolga Tasdizen, Robert M. Kirby, Vahid Keshavarzzadeh, 2021, Comput. Aided Des..

Visualization of topology optimization designs with representative subset selection pdf

Michael Gleicher, Robert M Kirby, Vahid Keshavarzzadeh, 2020, ArXiv.

Image-BasedMultiresolution Topology Optimization Using Deep Disjunctive Normal ShapeModel

Robert M. Kirby, T. Tasdizen, Vahid Keshavarzzadeh, 2020 .

Robust multiphase topology optimization accounting for manufacturing uncertainty via stochastic collocation

Kai A. James, Vahid Keshavarzzadeh, Vahid Keshavarzzadeh, 2019, Structural and Multidisciplinary Optimization.

Parametric topology optimization with multiresolution finite element models pdf

Robert Michael Kirby, Akil C. Narayan, Vahid Keshavarzzadeh, 2018, International Journal for Numerical Methods in Engineering.

Generation of nested quadrature rules for generic weight functions via numerical optimization: Application to sparse grids

Robert M. Kirby, Akil Narayan, Vahid Keshavarzzadeh, 2018, J. Comput. Phys..

Stress-based topology optimization under uncertainty via simulation-based Gaussian process

Robert M. Kirby, Akil Narayan, Vahid Keshavarzzadeh, 2020 .

Robust topology optimization with low rank approximation using artificial neural networks

Akil Narayan, Vahid Keshavarzzadeh, Robert M. Kirby, 2021, Computational Mechanics.

Convergence Acceleration for Time-Dependent Parametric Multifidelity Models

Robert M. Kirby, Akil Narayan, Vahid Keshavarzzadeh, 2018, SIAM J. Numer. Anal..

Convergence acceleration of polynomial chaos solutions via sequence transformation

Roger Ghanem, Sami F. Masri, Osama J. Aldraihem, 2014 .

Numerical Integration in Multiple Dimensions with Designed Quadrature pdf

Robert Michael Kirby, Akil C. Narayan, Vahid Keshavarzzadeh, 2018, SIAM J. Sci. Comput..

GP-HMAT: Scalable, ${O}(n\log(n))$ Gaussian Process Regression with Hierarchical Low-Rank Matrices

Shandian Zhe, Akil Narayan, Vahid Keshavarzzadeh, 2021, 2201.00888.

Reliability-based lifecycle management for corroding pipelines

Arash Noshadravan, Vahid Keshavarzzadeh, Mihir Mishra, 2019, Structural Safety.

Multilevel Designed Quadrature for Partial Differential Equations with Random Inputs

Robert Michael Kirby, Akil Narayan, Vahid Keshavarzzadeh, 2021, SIAM J. Sci. Comput..

Designed quadrature to approximate integrals in maximum simulated likelihood estimation

Prateek Bansal, Ricardo A. Daziano, Vahid Keshavarzzadeh, 2020, The Econometrics Journal.