Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities. - Khachik Sargsyan; Cosmin Safta; Bert J. Debusschere; Habib N. Najm (ICDM Workshops, 2009)

A high-order low-Mach number AMR construction for chemically reacting flows. - Cosmin Safta; Jaideep Ray; Habib N. Najm (J. Comput. Phys., 2010)

Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs. - Khachik Sargsyan; Cosmin Safta; Bert J. Debusschere; Habib N. Najm (SIAM J. Sci. Comput., 2012)

Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis. - Khachik Sargsyan; Cosmin Safta; Bert J. Debusschere; Habib N. Najm (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Structural models used in real-time biosurveillance outbreak detection and outbreak curve isolation from noisy background morbidity levels. - Karen Elizabeth Cheng; David J. Crary; Jaideep Ray; Cosmin Safta (J. Am. Medical Informatics Assoc., 2013)

Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems. - Cosmin Safta; Richard L. Chen; Habib N. Najm; Ali Pinar; Jean-Paul Watson (CoRR, 2014)

A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid. - Kushal S. Kedia; Cosmin Safta; Jaideep Ray; Habib N. Najm; Ahmed F. Ghoniem (J. Comput. Phys., 2014)

Efficient Representation of Uncertainty for Stochastic Economic Dispatch. - Cosmin Safta; Richard Li-Yang Chen; Habib N. Najm; Ali Pinar; Jean-Paul Watson (CoRR, 2015)

Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem. - Cosmin Safta; Khachik Sargsyan; Habib N. Najm; Kenny Chowdhary; Bert J. Debusschere; Laura Painton Swiler; Michael S. Eldred (J. Aerosp. Inf. Syst., 2015)

Hybrid discrete/continuum algorithms for stochastic reaction networks. - Cosmin Safta; Khachik Sargsyan; Bert J. Debusschere; Habib N. Najm (J. Comput. Phys., 2015)

Fault Resilient Domain Decomposition Preconditioner for PDEs. - Khachik Sargsyan; Francesco Rizzi; Paul Mycek; Cosmin Safta; Karla Morris; Habib N. Najm; Olivier P. Le Maître; Omar M. Knio; Bert J. Debusschere (SIAM J. Sci. Comput., 2015)

ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner. - Francesco Rizzi; Karla Morris; Khachik Sargsyan; Paul Mycek; Cosmin Safta; Bert J. Debusschere; Olivier P. Le Maître; Omar M. Knio (FTXS@HPDC, 2016)

Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. - Karla Morris; Francesco Rizzi; Khachik Sargsyan; Kathryn Dahlgren; Paul Mycek; Cosmin Safta; Olivier P. Le Maître; Omar M. Knio; Bert J. Debusschere (ISC, 2016)

A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs. - Paul Mycek; Andres Contreras; Olivier P. Le Maître; Khachik Sargsyan; Francesco Rizzi; Karla Morris; Cosmin Safta; Bert J. Debusschere; Omar M. Knio (Comput. Phys. Commun., 2017)

Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. - Paul Mycek; Francesco Rizzi; Olivier P. Le Maître; Khachik Sargsyan; Karla Morris; Cosmin Safta; Bert J. Debusschere; Omar M. Knio (SIAM J. Sci. Comput., 2017)

Chance-constrained economic dispatch with renewable energy and storage. - Jianqiang Cheng; Richard Li-Yang Chen; Habib N. Najm; Ali Pinar; Cosmin Safta; Jean-Paul Watson (Comput. Optim. Appl., 2018)

Partial differential equations preconditioner resilient to soft and hard faults. - Francesco Rizzi; Karla Morris; Khachik Sargsyan; Paul Mycek; Cosmin Safta; Olivier P. Le Maître; Omar M. Knio; Bert J. Debusschere (Int. J. High Perform. Comput. Appl., 2018)

Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques. - Kenny Chowdhary; Cosmin Safta; Habib N. Najm (J. Comput. Phys., 2018)

Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions. - Xun Huan; Cosmin Safta; Khachik Sargsyan; Zachary P. Vane; Guilhem Lacaze; Joseph C. Oefelein; Habib N. Najm (SIAM/ASA J. Uncertain. Quantification, 2018)

Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner. - Francesco Rizzi; Karla Morris; Khachik Sargsyan; Paul Mycek; Cosmin Safta; Olivier P. Le Maître; Omar M. Knio; Bert J. Debusschere (Parallel Comput., 2018)

Distributionally Robust Optimization with Principal Component Analysis. - Jianqiang Cheng; Richard Li-Yang Chen; Habib N. Najm; Ali Pinar; Cosmin Safta; Jean-Paul Watson (SIAM J. Optim., 2018)

Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds. - Roger G. Ghanem; Christian Soize; Cosmin Safta; Xun Huan; Guilhem Lacaze; Joseph C. Oefelein; Habib N. Najm (J. Comput. Phys., 2019)

Entropy-based closure for probabilistic learning on manifolds. - Christian Soize; Roger G. Ghanem; Cosmin Safta; Xun Huan; Zachary P. Vane; Joseph C. Oefelein; Guilhem Lacaze; Habib N. Najm; Qi Tang; X. Chen (J. Comput. Phys., 2019)

Compressive sensing adaptation for polynomial chaos expansions. - Panagiotis Tsilifis; Xun Huan; Cosmin Safta; Khachik Sargsyan; Guilhem Lacaze; Joseph C. Oefelein; Habib N. Najm; Roger G. Ghanem (J. Comput. Phys., 2019)

Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates. - Manav Vohra; Alen Alexanderian; Cosmin Safta; Sankaran Mahadevan (J. Sci. Comput., 2019)

A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges. - Laura P. Swiler; Mamikon A. Gulian; Ari Frankel; Cosmin Safta; John D. Jakeman (CoRR, 2020)

Mesh-based graph convolutional neural network models of processes with complex initial states. - Ari Frankel; Cosmin Safta; Coleman Alleman; Reese E. Jones (CoRR, 2021)

Deep learning and multi-level featurization of graph representations of microstructural data. - Reese E. Jones; Cosmin Safta; Ari Frankel (CoRR, 2022)

Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning. - Alex A. Gorodetsky; Cosmin Safta; John D. Jakeman (J. Mach. Learn. Res., 2022)

Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy. - Wyatt Bridgman; Uma Balakrishnan; Reese E. Jones; Jiefu Chen; Xuqing Wu 001; Cosmin Safta; Yueqin Huang; Mohammad Khalil (CoRR, 2023)

Industrial PLC Network Modeling and Parameter Identification Using Sensitivity Analysis and Mean Field Variational Inference. - Raelynn Wonnacott; David S. Ching; John Chilleri; Cosmin Safta; Lee Rashkin; Thomas A. Reichardt (Sensors, 2023)

TChem: A performance portable parallel software toolkit for complex kinetic mechanisms. - Kyungjoo Kim; Oscar H. Díaz-Ibarra; Habib N. Najm; Judit Zádor; Cosmin Safta (Comput. Phys. Commun., 2023)

Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes. - Jeremiah Hauth; Cosmin Safta; Xun Huan; Ravi G. Patel; Reese E. Jones (CoRR, 2024)

Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response. - Ravi G. Patel; Cosmin Safta; Reese E. Jones (CoRR, 2024)

Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone. - Christophe Bonneville; Nathan Bieberdorf; Arun Hegde; Mark Asta; Habib N. Najm; Laurent Capolungo; Cosmin Safta (CoRR, 2024)

Bayesian calibration of stochastic agent based model via random forest. - Connor Robertson; Cosmin Safta; Nicholson T. Collier; Jonathan Ozik; Jaideep Ray (CoRR, 2024)

Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models. - Govinda Anantha Padmanabha; Jan Niklas Fuhg; Cosmin Safta; Reese E. Jones; Nikolaos Bouklas (CoRR, 2024)

A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation. - Artem Mustaev; Nicholas Galioto; Matt Boler; John D. Jakeman; Cosmin Safta; Alex A. Gorodetsky (CoRR, 2024)

Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks. - Govinda Anantha Padmanabha; Cosmin Safta; Nikolaos Bouklas; Reese E. Jones (CoRR, 2024)

CSPlib: A performance portable parallel software toolkit for analyzing complex kinetic mechanisms. - Oscar H. Díaz-Ibarra; Kyungjoo Kim; Cosmin Safta; Habib N. Najm (Comput. Phys. Commun., 2024)

Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion of Electromagnetic Data. - Han Lu; Ziang Zhang; Xiaolong Wei; Mohammad Khalil; Tommie Catanach; Cosmin Safta; Jiajia Sun; Xuqing Wu 001; Xin Fu; Jiefu Chen; Yueqin Huang (IEEE Trans. Geosci. Remote. Sens., 2025)

Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates. - Connor Robertson; Cosmin Safta; Nicholson T. Collier; Jonathan Ozik; Jaideep Ray (CoRR, 2025)

Uncertainty quantification of neural network models of evolving processes via Langevin sampling. - Cosmin Safta; Reese E. Jones; Ravi G. Patel; Raelynn Wonnacott; Dan S. Bolintineanu; Craig M. Hamel; Sharlotte L. B. Kramer (CoRR, 2025)