Vishwas Rao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Inference Problems

Dynamical Systems

Experimental Designs

Data Assimilation

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Sci.

J. Comput. Phys.

Publications

Srinivas Eswar, Vishwas Rao, Arvind K. Saibaba
Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors. CoRR (2024)
Amit N. Subrahmanya, Vishwas Rao, Arvind K. Saibaba
Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation. CoRR (2024)
S. Ashwin Renganathan, Vishwas Rao, Ionel M. Navon
CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis. J. Comput. Phys. 472 (2023)
S. Ashwin Renganathan, Vishwas Rao, Ionel M. Navon
CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis. CoRR (2022)
Shanyin Tong, Anirudh Subramanyam, Vishwas Rao
Optimization under Rare Chance Constraints. SIAM J. Optim. 32 (2) (2022)
Tyler E. Maltba, Vishwas Rao, Daniel Adrian Maldonado
Learning the Evolution of Correlated Stochastic Power System Dynamics. CoRR (2022)
Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu
Frequency Recovery in Power Grids using High-Performance Computing. ICPP Workshops (2022)
Vishwas Rao, Charlotte A. L. Haley, Mihai Anitescu
LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid. J. Open Source Softw. 7 (69) (2022)
Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. J. Comput. Sci. 50 (2021)
Vishwas Rao, Mihai Anitescu
Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi
Data-Driven Deep Learning Emulators for Geophysical Forecasting. ICCS (5) (2021)
Vishwas Rao, Mihai Anitescu
Efficient computation of extreme excursion probabilities for dynamical systems. CoRR (2020)
Vishwas Rao, Romit Maulik, Emil M. Constantinescu, Mihai Anitescu
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. ICCS (6) (2020)
Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models. CoRR (2019)
Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. ICCS (4) (2019)
Nick Alger, Vishwas Rao, Aaron Myers, Tan Bui-Thanh, Omar Ghattas
Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators. SIAM J. Sci. Comput. 41 (4) (2019)
Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. CoRR (2018)
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
and Huber Norms. SIAM J. Sci. Comput. 39 (3) (2017)
Vishwas Rao, Adrian Sandu
A time-parallel approach to strong-constraint four-dimensional variational data assimilation. J. Comput. Phys. 313 (2016)
Vishwas Rao, Adrian Sandu
A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation. CoRR (2015)
Vishwas Rao, Adrian Sandu
Parallel Solution of DDDAS Variational Inference Problems. ICCS (2015)
Ahmed Attia, Vishwas Rao, Adrian Sandu
A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. CoRR (2015)
Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
and Huber norms. CoRR (2015)
Vishwas Rao, Adrian Sandu
A Posteriori Error Estimates for the Solution of Variational Inverse Problems. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
Vishwas Rao, Adrian Sandu
A Posteriori Error Estimates for DDDAS Inference Problems. ICCS (2014)
Ahmed Attia, Vishwas Rao, Adrian Sandu
A Sampling Approach for Four Dimensional Data Assimilation. DyDESS (2014)
Vishwas Rao, Adrian Sandu
An adjoint-based scalable algorithm for time-parallel integration. J. Comput. Sci. 5 (2) (2014)
Vishwas Rao, Rick Archibald, Katherine J. Evans
Emulation to simulate low-resolution atmospheric data. Int. J. Comput. Math. 91 (4) (2014)
Adrian Sandu, Alexandru Cioaca, Vishwas Rao
Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors. ICCS (2013)
Vishwas Rao, Adrian Sandu
An Adjoint Based Implementation of the Parareal Algorithm. ICCS (2012)