Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem. - Roger G. Ghanem; Iman Yadegaran; Charan Thimmisetty; Vahid Keshavarzzadeh; Sami F. Masri; John R. Red-Horse; Robert D. Moser; Todd A. Oliver; Pol D. Spanos; Osama J. Aldraihem (J. Aerosp. Inf. Syst., 2015)

Identification of discontinuous nonlinear systems via a multivariate Padé approach. - Vahid Keshavarzzadeh; Sami F. Masri (J. Comput. Phys., 2016)

Parametric Topology Optimization with Multi-Resolution Finite Element Models. - Vahid Keshavarzzadeh; Robert M. Kirby; Akil Narayan 001 (CoRR, 2018)

Numerical Integration in Multiple Dimensions with Designed Quadrature. - Vahid Keshavarzzadeh; Robert M. Kirby; Akil Narayan 001 (SIAM J. Sci. Comput., 2018)

Convergence Acceleration for Time-Dependent Parametric Multifidelity Models. - Vahid Keshavarzzadeh; Robert M. Kirby; Akil Narayan 001 (SIAM J. Numer. Anal., 2019)

Visualization of topology optimization designs with representative subset selection. - Daniel J. Perry; Vahid Keshavarzzadeh; Shireen Y. Elhabian; Robert M. Kirby; Michael Gleicher; Ross T. Whitaker (CoRR, 2020)

Generation of nested quadrature rules for generic weight functions via numerical optimization: Application to sparse grids. - Vahid Keshavarzzadeh; Robert M. Kirby; Akil Narayan 001 (J. Comput. Phys., 2020)

Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model. - Vahid Keshavarzzadeh; Mitra Alirezaei; Tolga Tasdizen; Robert M. Kirby (Comput. Aided Des., 2021)

Robust Topology Optimization Using Variational Autoencoders. - Rini Jasmine Gladstone; Mohammad Amin Nabian; Vahid Keshavarzzadeh; Hadi Meidani (CoRR, 2021)

Multilevel Designed Quadrature for Partial Differential Equations with Random Inputs. - Vahid Keshavarzzadeh; Robert M. Kirby; Akil Narayan 001 (SIAM J. Sci. Comput., 2021)

GP-HMAT: Scalable, O(n log(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices. - Vahid Keshavarzzadeh; Shandian Zhe; Robert M. Kirby; Akil Narayan 001 (CoRR, 2022)

Machine Learning in Heterogeneous Porous Materials. - Marta D'Elia; Hang Deng; Cedric G. Fraces; Krishna C. Garikipati; Lori Graham-Brady; Amanda A. Howard; George Em Karniadakis; Vahid Keshavarzzadeh; Robert M. Kirby; J. Nathan Kutz; Chunhui Li; Xing Liu; et al. (CoRR, 2022)

A Bandit-Learning Approach to Multifidelity Approximation. - Yiming Xu; Vahid Keshavarzzadeh; Robert M. Kirby; Akil Narayan 001 (SIAM J. Sci. Comput., 2022)