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Rao, Vishwas
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1

CAMERA: A method for cost-aware, adaptive, multifidelity, e..:

Ashwin Renganathan, S. ; Rao, Vishwas ; Navon, Ionel M.
Journal of Computational Physics.  472 (2023)  - p. 111698 , 2023
Link: https://doi.org/10.1016/..
 
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2

LaplaceInterpolation.jl: A Julia package for fast interpola..:

Rao, Vishwas ; Haley, Charlotte ; Anitescu, Mihai
Journal of Open Source Software.  7 (2022)  70 - p. 3766 , 2022
Link: https://doi.org/10.21105..
 
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3

Efficient high-dimensional variational data assimilation wi..:

Maulik, Romit ; Rao, Vishwas ; Wang, Jiali...
Geoscientific Model Development.  15 (2022)  8 - p. 3433-3445 , 2022
Link: https://doi.org/10.5194/..
 
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4

Optimization under Rare Chance Constraints:

Tong, Shanyin ; Subramanyam, Anirudh ; Rao, Vishwas
SIAM Journal on Optimization.  32 (2022)  2 - p. 930-958 , 2022
Link: https://doi.org/10.1137/..
 
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5

Order-Disorder Transitions in (CaxSr1−x)3Rh4Sn13:

Upreti, Puspa ; Krogstad, Matthew ; Haley, Charlotte...
Physical Review Letters.  128 (2022)  9 - p. , 2022
Link: https://doi.org/10.1103/..
 
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6

Learning the Evolution of Correlated Stochastic Power Syste..:

, In: 2022 IEEE Power & Energy Society General Meeting (PESGM),
Maltba, Tyler E. ; Rao, Vishwas ; Maldonado, Daniel Adrian - p. 01-05 , 2022
Link: https://doi.org/10.1109/..
 
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7

Trust-Region Approximation of Extreme Trajectories in Power..:

Maldonado, Daniel Adrian ; Constantinescu, Emil Mihai ; Zhang, Hong..
IEEE Transactions on Power Systems.  37 (2022)  5 - p. 3937-3946 , 2022
Link: https://doi.org/10.1109/..
 
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8

Frequency Recovery in Power Grids using High-Performance Co..:

, In: Workshop Proceedings of the 51st International Conference on Parallel Processing,
Rao, Vishwas ; Subramanyam, Anirudh ; Schanen, Michel... - p. 1-6 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

Machine learning based algorithms for uncertainty quantific..:

Moosavi, Azam ; Rao, Vishwas ; Sandu, Adrian
Journal of Computational Science.  50 (2021)  - p. 101295 , 2021
Link: https://doi.org/10.1016/..
 
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10

Efficient Computation of Extreme Excursion Probabilities fo..:

Rao, Vishwas ; Anitescu, Mihai
SIAM/ASA Journal on Uncertainty Quantification.  9 (2021)  2 - p. 731-762 , 2021
Link: https://doi.org/10.1137/..
 
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11

Data-Driven Deep Learning Emulators for Geophysical Forecas..:

, In: Computational Science – ICCS 2021; Lecture Notes in Computer Science,
Sastry, Varuni Katti ; Maulik, Romit ; Rao, Vishwas... - p. 433-446 , 2021
Link: https://doi.org/10.1007/..
 
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12

A Machine-Learning-Based Importance Sampling Method to Comp..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2020,
Rao, Vishwas ; Maulik, Romit ; Constantinescu, Emil. - p. 169-182 , 2020
Link: https://doi.org/10.1007/..
 
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13

Sequential Bayesian parameter estimation of stochastic dyna..:

Maldonado, Daniel Adrian ; Rao, Vishwas ; Anitescu, Mihai.
Electric Power Systems Research.  189 (2020)  - p. 106606 , 2020
Link: https://doi.org/10.1016/..
 
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14

A Learning-Based Approach for Uncertainty Analysis in Numer..:

, In: Lecture Notes in Computer Science; Computational Science – ICCS 2019,
Moosavi, Azam ; Rao, Vishwas ; Sandu, Adrian - p. 126-140 , 2019
Link: https://doi.org/10.1007/..
 
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15

A parallel workflow implementation for PEST version 13.6 in..:

Wang, Jiali ; Wang, Cheng ; Rao, Vishwas...
Geoscientific Model Development.  12 (2019)  8 - p. 3523-3539 , 2019
Link: https://doi.org/10.5194/..
 
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