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ORCIDVahid Keshavarzzadeh
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2020 – today
- 2022
[j8]Yiming Xu
, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
A Bandit-Learning Approach to Multifidelity Approximation. SIAM J. Sci. Comput. 44(1): 150- (2022)- [i7]Vahid Keshavarzzadeh, Shandian Zhe, Robert M. Kirby, Akil Narayan:
GP-HMAT: Scalable, O(n log(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices. CoRR abs/2201.00888 (2022) - [i6]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, Hannah Lu, Pania Newell, Daniel O'Malley, Masa Prodanovic, Gowri Srinivasan, Alexandre M. Tartakovsky, Daniel M. Tartakovsky, Hamdi A. Tchelepi, Bozo Vazic, Hari S. Viswanathan, Hongkyu Yoon, Piotr Zarzycki:
Machine Learning in Heterogeneous Porous Materials. CoRR abs/2202.04137 (2022) - 2021
- [j7]Vahid Keshavarzzadeh, Mitra Alirezaei, Tolga Tasdizen, Robert M. Kirby:
Image-Based Multiresolution Topology Optimization Using Deep Disjunctive Normal Shape Model. Comput. Aided Des. 130: 102947 (2021) - [j6]Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
Multilevel Designed Quadrature for Partial Differential Equations with Random Inputs. SIAM J. Sci. Comput. 43(2): A1412-A1440 (2021) - [i5]Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
A bandit-learning approach to multifidelity approximation. CoRR abs/2103.15342 (2021) - [i4]Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani:
Robust Topology Optimization Using Variational Autoencoders. CoRR abs/2107.10661 (2021) - 2020
- [j5]Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
Generation of nested quadrature rules for generic weight functions via numerical optimization: Application to sparse grids. J. Comput. Phys. 400 (2020) - [i3]Daniel J. Perry, Vahid Keshavarzzadeh, Shireen Y. Elhabian, Robert M. Kirby, Michael Gleicher, Ross T. Whitaker:
Visualization of topology optimization designs with representative subset selection. CoRR abs/2012.14901 (2020)
2010 – 2019
- 2019
- [j4]Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
Convergence Acceleration for Time-Dependent Parametric Multifidelity Models. SIAM J. Numer. Anal. 57(3): 1344-1368 (2019) - 2018
- [j3]Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
Numerical Integration in Multiple Dimensions with Designed Quadrature. SIAM J. Sci. Comput. 40(4): A2033-A2061 (2018) - [i2]Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
Numerical Integration in Multiple Dimensions with Designed Quadrature. CoRR abs/1804.06501 (2018) - [i1]Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
Parametric Topology Optimization with Multi-Resolution Finite Element Models. CoRR abs/1808.10367 (2018) - 2016
- [j2]Vahid Keshavarzzadeh, Sami F. Masri:
Identification of discontinuous nonlinear systems via a multivariate Padé approach. J. Comput. Phys. 306: 520-545 (2016) - 2015
- [j1]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:
Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem. J. Aerosp. Inf. Syst. 12(1): 170-188 (2015)
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