Vishwas Rao

Orcid: 0000-0002-4395-6075

According to our database1, Vishwas Rao authored at least 27 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors.
CoRR, 2024

Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation.
CoRR, 2024

Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2024

2023
CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis.
J. Comput. Phys., 2023

2022
Optimization under Rare Chance Constraints.
SIAM J. Optim., 2022

LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid.
J. Open Source Softw., 2022

Learning the Evolution of Correlated Stochastic Power System Dynamics.
CoRR, 2022

Frequency Recovery in Power Grids using High-Performance Computing.
Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula.
SIAM/ASA J. Uncertain. Quantification, 2021

Machine learning based algorithms for uncertainty quantification in numerical weather prediction models.
J. Comput. Sci., 2021

Data-Driven Deep Learning Emulators for Geophysical Forecasting.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
Efficient computation of extreme excursion probabilities for dynamical systems.
CoRR, 2020

A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators.
SIAM J. Sci. Comput., 2019

Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models.
CoRR, 2019

A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models.
Proceedings of the Computational Science - ICCS 2019, 2019

2017
Robust Data Assimilation Using L<sub>1</sub> and Huber Norms.
SIAM J. Sci. Comput., 2017

2016
A time-parallel approach to strong-constraint four-dimensional variational data assimilation.
J. Comput. Phys., 2016

2015
A Posteriori Error Estimates for the Solution of Variational Inverse Problems.
SIAM/ASA J. Uncertain. Quantification, 2015

A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation.
CoRR, 2015

Parallel Solution of DDDAS Variational Inference Problems.
Proceedings of the International Conference on Computational Science, 2015

2014
An adjoint-based scalable algorithm for time-parallel integration.
J. Comput. Sci., 2014

Emulation to simulate low-resolution atmospheric data.
Int. J. Comput. Math., 2014

A Posteriori Error Estimates for DDDAS Inference Problems.
Proceedings of the International Conference on Computational Science, 2014

A Sampling Approach for Four Dimensional Data Assimilation.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013
Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors.
Proceedings of the International Conference on Computational Science, 2013

2012
An Adjoint Based Implementation of the Parareal Algorithm.
Proceedings of the International Conference on Computational Science, 2012


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