Vishwas Rao

Arvind K. Saibaba

CoRR, 2024

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

[BibT_eX]

[DOI]

Amit N. Subrahmanya

Arvind K. Saibaba

CoRR, 2024

2023

CAMERA: A method for cost-aware, adaptive, multifidelity, efficient reliability analysis.

[BibT_eX]

[DOI]

S. Ashwin Renganathan

Ionel Michael Navon

J. Comput. Phys., 2023

2022

Optimization under Rare Chance Constraints.

[BibT_eX]

[DOI]

Shanyin Tong

Anirudh Subramanyam

SIAM J. Optim., 2022

LaplaceInterpolation.jl: A Julia package for fast interpolation on a grid.

[BibT_eX]

[DOI]

Charlotte A. L. Haley

J. Open Source Softw., 2022

Learning the Evolution of Correlated Stochastic Power System Dynamics.

[BibT_eX]

[DOI]

Tyler E. Maltba

Daniel Adrian Maldonado

CoRR, 2022

Frequency Recovery in Power Grids using High-Performance Computing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2021

Machine learning based algorithms for uncertainty quantification in numerical weather prediction models.

[BibT_eX]

[DOI]

Azam S. Zavar Moosavi

J. Comput. Sci., 2021

Data-Driven Deep Learning Emulators for Geophysical Forecasting.

[BibT_eX]

[DOI]

S. Ashwin Renganathan

Rao Kotamarthi

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Efficient computation of extreme excursion probabilities for dynamical systems.

[BibT_eX]

[DOI]

CoRR, 2020

A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities.

[BibT_eX]

[DOI]

Romit Maulik

Emil M. Constantinescu

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models.

[BibT_eX]

[DOI]

Azam S. Zavar Moosavi

Proceedings of the Computational Science - ICCS 2019, 2019

2017

Robust Data Assimilation Using L<sub>1</sub> and Huber Norms.

[BibT_eX]

[DOI]

Michael Ng

Elias David Niño Ruiz

SIAM J. Sci. Comput., 2017

2016

A time-parallel approach to strong-constraint four-dimensional variational data assimilation.

[BibT_eX]

[DOI]

J. Comput. Phys., 2016

2015

A Posteriori Error Estimates for the Solution of Variational Inverse Problems.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2015

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

[BibT_eX]

[DOI]

Ahmed Attia

CoRR, 2015

Parallel Solution of DDDAS Variational Inference Problems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2015

2014

An adjoint-based scalable algorithm for time-parallel integration.

[BibT_eX]

[DOI]

J. Comput. Sci., 2014

Emulation to simulate low-resolution atmospheric data.

[BibT_eX]

[DOI]

Rick Archibald

Katherine J. Evans

Int. J. Comput. Math., 2014

A Posteriori Error Estimates for DDDAS Inference Problems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2014

A Sampling Approach for Four Dimensional Data Assimilation.

[BibT_eX]

[DOI]

Ahmed Attia

Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013

Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors.

[BibT_eX]

[DOI]

Alexandru Cioaca

Proceedings of the International Conference on Computational Science, 2013

2012

An Adjoint Based Implementation of the Parareal Algorithm.

[BibT_eX]

[DOI]