Vishwas Rao - RankMe

40 papers Misc 4Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian D-Optimal Experimental Designs via Column Subset Selection. SIAM J. Sci. Comput. Srinivas Eswar, Vishwas Rao, Arvind K. Saibaba
2026	J	`jnl`	Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices. CoRR Sujata Sinha, Vishwas Rao, Robert Underwood, David Lenz, Sheng Di, Franck Cappello, Lingjia Liu
2025	J	`jnl`	Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models. CoRR Haoyuan Chen, Emil M. Constantinescu, Vishwas Rao, Cristiana Stan
2025	J	`jnl`	Latent Twins. CoRR Matthias Chung, Deepanshu Verma, Max Collins, Amit N. Subrahmanya, Varuni Katti Sastry, Vishwas Rao
2025	J	`jnl`	Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework. CoRR Alen Alexanderian, Hugo Díaz, Vishwas Rao, Arvind K. Saibaba
2025	J	`jnl`	Parametric Hierarchical Matrix Approximations to Kernel Matrices. CoRR Abraham Khan, Chao Chen, Vishwas Rao, Arvind K. Saibaba
2025	J	`jnl`	Scientific Applications Leveraging Randomized Linear Algebra. CoRR Vivak Patel, Daniel Adrian Maldonado, Maksim Melnichenko, Nathaniel Pritchard, Vishwas Rao, Elizaveta Rebrova, Sriram Sankararaman
2025	J	`jnl`	Structured Column Subset Selection for Bayesian Optimal Experimental Design. CoRR Hugo Díaz, Arvind K. Saibaba, Srinivas Eswar, Vishwas Rao, Zichao Wendy Di
2025	J	`jnl`	Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models. CoRR Philip Dinenis, Vishwas Rao, Mihai Anitescu
2024	J	`jnl`	Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors. CoRR Srinivas Eswar, Vishwas Rao, Arvind K. Saibaba
2024	J	`jnl`	Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation. CoRR Amit N. Subrahmanya, Vishwas Rao, Arvind K. Saibaba
2024	—	`conf`	Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities. OSMSES Sungho Shin, Vishwas Rao, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
2023	J	`jnl`	CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis. J. Comput. Phys. S. Ashwin Renganathan, Vishwas Rao, Ionel Michael Navon
2022	J	`jnl`	CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis. CoRR S. Ashwin Renganathan, Vishwas Rao, Ionel Michael Navon
2022	—	`conf`	Frequency Recovery in Power Grids using High-Performance Computing. ICPP Workshops Vishwas Rao, Anirudh Subramanyam, Michel Schanen, Youngdae Kim, Ignas Satkauskas, Mihai Anitescu
2022	J	`jnl`	LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid. J. Open Source Softw. Vishwas Rao, Charlotte A. L. Haley, Mihai Anitescu
2022	J	`jnl`	Learning the Evolution of Correlated Stochastic Power System Dynamics. CoRR Tyler E. Maltba, Vishwas Rao, Daniel Adrian Maldonado
2022	J	`jnl`	Optimization under Rare Chance Constraints. SIAM J. Optim. Shanyin Tong, Anirudh Subramanyam, Vishwas Rao
2021	—	`conf`	Data-Driven Deep Learning Emulators for Geophysical Forecasting. ICCS (5) Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi
2021	J	`jnl`	Efficient Computation of Extreme Excursion Probabilities for Dynamical Systems through Rice's Formula. SIAM/ASA J. Uncertain. Quantification Vishwas Rao, Mihai Anitescu
2021	J	`jnl`	Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. J. Comput. Sci. Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
2020	—	`conf`	A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. ICCS (6) Vishwas Rao, Romit Maulik, Emil M. Constantinescu, Mihai Anitescu
2020	J	`jnl`	Efficient computation of extreme excursion probabilities for dynamical systems. CoRR Vishwas Rao, Mihai Anitescu
2019	—	`conf`	A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. ICCS (4) Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
2019	J	`jnl`	Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators. SIAM J. Sci. Comput. Nick Alger, Vishwas Rao, Aaron Myers, Tan Bui-Thanh, Omar Ghattas
2019	J	`jnl`	Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models. CoRR Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash
2018	J	`jnl`	A Learning Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. CoRR Azam S. Zavar Moosavi, Vishwas Rao, Adrian Sandu
2017	J	`jnl`	Robust Data Assimilation Using L SIAM J. Sci. Comput. Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
2016	J	`jnl`	A time-parallel approach to strong-constraint four-dimensional variational data assimilation. J. Comput. Phys. Vishwas Rao, Adrian Sandu
2015	J	`jnl`	A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. CoRR Ahmed Attia, Vishwas Rao, Adrian Sandu
2015	J	`jnl`	A Posteriori Error Estimates for the Solution of Variational Inverse Problems. SIAM/ASA J. Uncertain. Quantification Vishwas Rao, Adrian Sandu
2015	J	`jnl`	A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation. CoRR Vishwas Rao, Adrian Sandu
2015	Misc	`conf`	Parallel Solution of DDDAS Variational Inference Problems. ICCS Vishwas Rao, Adrian Sandu
2015	J	`jnl`	Robust data assimilation using L CoRR Vishwas Rao, Adrian Sandu, Michael Ng, Elias David Niño Ruiz
2014	Misc	`conf`	A Posteriori Error Estimates for DDDAS Inference Problems. ICCS Vishwas Rao, Adrian Sandu
2014	—	`conf`	A Sampling Approach for Four Dimensional Data Assimilation. DyDESS Ahmed Attia, Vishwas Rao, Adrian Sandu
2014	J	`jnl`	An adjoint-based scalable algorithm for time-parallel integration. J. Comput. Sci. Vishwas Rao, Adrian Sandu
2014	J	`jnl`	Emulation to simulate low-resolution atmospheric data. Int. J. Comput. Math. Vishwas Rao, Rick Archibald, Katherine J. Evans
2013	Misc	`conf`	Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors. ICCS Adrian Sandu, Alexandru Cioaca, Vishwas Rao
2012	Misc	`conf`	An Adjoint Based Implementation of the Parareal Algorithm. ICCS Vishwas Rao, Adrian Sandu