Cosmin Safta

Orcid: 0000-0001-7219-7736

According to our database1, Cosmin Safta authored at least 33 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes.
CoRR, 2024

2023
TChem: A performance portable parallel software toolkit for complex kinetic mechanisms.
Comput. Phys. Commun., April, 2023

Industrial PLC Network Modeling and Parameter Identification Using Sensitivity Analysis and Mean Field Variational Inference.
Sensors, March, 2023

Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy.
CoRR, 2023

2022
Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning.
J. Mach. Learn. Res., 2022

Deep learning and multi-level featurization of graph representations of microstructural data.
CoRR, 2022

2021
Mesh-based graph convolutional neural network models of processes with complex initial states.
CoRR, 2021

2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges.
CoRR, 2020

2019
Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates.
J. Sci. Comput., 2019

Compressive sensing adaptation for polynomial chaos expansions.
J. Comput. Phys., 2019

Entropy-based closure for probabilistic learning on manifolds.
J. Comput. Phys., 2019

Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds.
J. Comput. Phys., 2019

2018
Distributionally Robust Optimization with Principal Component Analysis.
SIAM J. Optim., 2018

Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner.
Parallel Comput., 2018

Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification, 2018

Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques.
J. Comput. Phys., 2018

Partial differential equations preconditioner resilient to soft and hard faults.
Int. J. High Perform. Comput. Appl., 2018

Chance-constrained economic dispatch with renewable energy and storage.
Comput. Optim. Appl., 2018

2017
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations.
SIAM J. Sci. Comput., 2017

A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs.
Comput. Phys. Commun., 2017

2016
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults.
Proceedings of the High Performance Computing - 31st International Conference, 2016

ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner.
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016

2015
Fault Resilient Domain Decomposition Preconditioner for PDEs.
SIAM J. Sci. Comput., 2015

Hybrid discrete/continuum algorithms for stochastic reaction networks.
J. Comput. Phys., 2015

Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem.
J. Aerosp. Inf. Syst., 2015

Efficient Representation of Uncertainty for Stochastic Economic Dispatch.
CoRR, 2015

2014
A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid.
J. Comput. Phys., 2014

Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems.
CoRR, 2014

2013
Structural models used in real-time biosurveillance outbreak detection and outbreak curve isolation from noisy background morbidity levels.
J. Am. Medical Informatics Assoc., 2013

2012
Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs.
SIAM J. Sci. Comput., 2012

2010
A high-order low-Mach number AMR construction for chemically reacting flows.
J. Comput. Phys., 2010

2009
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities.
Proceedings of the ICDM Workshops 2009, 2009


  Loading...