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Vishwas Rao
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Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil
SA Renganathan, R Maulik, V Rao
Physics of Fluids 32 (4), 047110, 2020
582020
A posteriori error estimates for the solution of variational inverse problems
V Rao, A Sandu
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 737-761, 2015
342015
A posteriori error estimates for the solution of variational inverse problems
V Rao, A Sandu
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 737-761, 2015
342015
A-posteriori error estimates for inverse problems
V Rao, A Sandu
arXiv preprint arXiv:1409.7129, 2014
34*2014
A time-parallel approach to strong-constraint four-dimensional variational data assimilation
V Rao, A Sandu
Journal of Computational Physics 313, 583-593, 2016
312016
A Hybrid Monte‐Carlo sampling smoother for four‐dimensional data assimilation
A Attia, V Rao, A Sandu
International Journal for Numerical Methods in Fluids 83 (1), 90-112, 2017
242017
A posteriori error estimates for DDDAS inference problems
V Rao, A Sandu
Procedia Computer Science 29, 1256-1265, 2014
232014
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models
A Moosavi, V Rao, A Sandu
Journal of Computational Science 50, 101295, 2021
182021
Dynamic security constrained optimal power flow using finite difference sensitivities
S Abhyankar, V Rao, M Anitescu
2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014
182014
Robust Data Assimilation Using and Huber Norms
V Rao, A Sandu, M Ng, ED Nino-Ruiz
SIAM Journal on Scientific Computing 39 (3), B548-B570, 2017
172017
A sampling approach for four dimensional data assimilation
A Attia, V Rao, A Sandu
Dynamic Data-Driven Environmental Systems Science: First International …, 2015
152015
An adjoint-based scalable algorithm for time-parallel integration
V Rao, A Sandu
Journal of Computational Science 5 (2), 76-84, 2014
152014
A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0:<? xmltex\break?> a case study over the midwestern United States
J Wang, C Wang, V Rao, A Orr, E Yan, R Kotamarthi
Geoscientific Model Development 12 (8), 3523-3539, 2019
132019
Dynamic sensor network configuration in infosymbiotic systems using model singular vectors
A Sandu, A Cioaca, V Rao
Procedia Computer Science 18, 1909-1918, 2013
102013
Scalable matrix-free adaptive product-convolution approximation for locally translation-invariant operators
N Alger, V Rao, A Myers, T Bui-Thanh, O Ghattas
SIAM Journal on Scientific Computing 41 (4), A2296-A2328, 2019
92019
AIEADA 1.0: Efficient high-dimensional variational data assimilation with machine-learned reduced-order models
R Maulik, V Rao, J Wang, G Mengaldo, E Constantinescu, B Lusch, ...
Geoscientific Model Development Discussions 2022, 1-20, 2022
72022
Optimization under rare chance constraints
S Tong, A Subramanyam, V Rao
SIAM Journal on Optimization 32 (2), 930-958, 2022
72022
Order-Disorder Transitions in
P Upreti, M Krogstad, C Haley, M Anitescu, V Rao, L Poudel, ...
Physical Review Letters 128 (9), 095701, 2022
62022
A machine-learning-based importance sampling method to compute rare event probabilities
V Rao, R Maulik, E Constantinescu, M Anitescu
Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020
62020
A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models
A Moosavi, V Rao, A Sandu
Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019
62019
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