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Cosmin Safta
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2020 – today
- 2024
- [j24]Oscar H. Díaz-Ibarra
, Kyungjoo Kim, Cosmin Safta
CSPlib: A performance portable parallel software toolkit for analyzing complex kinetic mechanisms. Comput. Phys. Commun. 297: 109069 (2024) - [i12]Jeremiah Hauth, Cosmin Safta, Xun Huan, Ravi G. Patel, Reese E. Jones:
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes. CoRR abs/2402.11179 (2024) - [i11]Ravi G. Patel, Cosmin Safta, Reese E. Jones:
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response. CoRR abs/2404.17584 (2024) - [i10]Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta:
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone. CoRR abs/2406.17119 (2024) - [i9]Connor Robertson, Cosmin Safta, Nicholson T. Collier, Jonathan Ozik, Jaideep Ray:
Bayesian calibration of stochastic agent based model via random forest. CoRR abs/2406.19524 (2024) - [i8]Govinda Anantha Padmanabha, Jan Niklas Fuhg, Cosmin Safta, Reese E. Jones, Nikolaos Bouklas:
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models. CoRR abs/2407.00761 (2024) - 2023
- [j23]Kyungjoo Kim, Oscar H. Díaz-Ibarra
TChem: A performance portable parallel software toolkit for complex kinetic mechanisms. Comput. Phys. Commun. 285: 108628 (2023) - [j22]Raelynn Wonnacott
Industrial PLC Network Modeling and Parameter Identification Using Sensitivity Analysis and Mean Field Variational Inference. Sensors 23(5): 2416 (2023) - [i7]Wyatt Bridgman, Uma Balakrishnan, Reese E. Jones, Jiefu Chen, Xuqing Wu, Cosmin Safta, Yueqin Huang, Mohammad Khalil:
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy. CoRR abs/2312.04648 (2023) - 2022
- [j21]Alex A. Gorodetsky, Cosmin Safta
Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning. J. Mach. Learn. Res. 23: 143:1-143:29 (2022) - [i6]Reese E. Jones, Cosmin Safta, Ari Frankel:
Deep learning and multi-level featurization of graph representations of microstructural data. CoRR abs/2210.00854 (2022) - 2021
- [i5]Ari Frankel, Cosmin Safta, Coleman Alleman, Reese E. Jones:
Mesh-based graph convolutional neural network models of processes with complex initial states. CoRR abs/2107.00090 (2021) - 2020
- [i4]Laura P. Swiler, Mamikon A. Gulian, Ari Frankel, Cosmin Safta, John D. Jakeman:
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges. CoRR abs/2006.09319 (2020)
2010 – 2019
- 2019
- [j20]Panagiotis Tsilifis
Compressive sensing adaptation for polynomial chaos expansions. J. Comput. Phys. 380: 29-47 (2019) - [j19]Christian Soize
Entropy-based closure for probabilistic learning on manifolds. J. Comput. Phys. 388: 518-533 (2019) - [j18]Roger G. Ghanem
Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds. J. Comput. Phys. 399 (2019) - [j17]Manav Vohra, Alen Alexanderian, Cosmin Safta
Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates. J. Sci. Comput. 79(2): 1335-1359 (2019) - 2018
- [j16]Jianqiang Cheng
Chance-constrained economic dispatch with renewable energy and storage. Comput. Optim. Appl. 70(2): 479-502 (2018) - [j15]Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek, Cosmin Safta
Partial differential equations preconditioner resilient to soft and hard faults. Int. J. High Perform. Comput. Appl. 32(5): 658-673 (2018) - [j14]Kenny Chowdhary, Cosmin Safta
Enhancing statistical moment calculations for stochastic Galerkin solutions with Monte Carlo techniques. J. Comput. Phys. 374: 1017-1030 (2018) - [j13]Xun Huan
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions. SIAM/ASA J. Uncertain. Quantification 6(2): 907-936 (2018) - [j12]Francesco Rizzi
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner. Parallel Comput. 73: 16-27 (2018) - [j11]Jianqiang Cheng, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Cosmin Safta
Distributionally Robust Optimization with Principal Component Analysis. SIAM J. Optim. 28(2): 1817-1841 (2018) - 2017
- [j10]Paul Mycek
A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs. Comput. Phys. Commun. 216: 18-34 (2017) - [j9]Paul Mycek, Francesco Rizzi, Olivier P. Le Maître
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. SIAM J. Sci. Comput. 39(1) (2017) - [i3]Xun Huan, Cosmin Safta, Khachik Sargsyan, Zachary P. Vane, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm:
Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions. CoRR abs/1707.09334 (2017) - 2016
- [c4]Francesco Rizzi
ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner. FTXS@HPDC 2016: 19-26 - [c3]Karla Morris, Francesco Rizzi, Khachik Sargsyan, Kathryn Dahlgren, Paul Mycek
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. ISC 2016: 469-485 - 2015
- [j8]Cosmin Safta
Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem. J. Aerosp. Inf. Syst. 12(1): 219-234 (2015) - [j7]Cosmin Safta
Hybrid discrete/continuum algorithms for stochastic reaction networks. J. Comput. Phys. 281: 177-198 (2015) - [j6]Khachik Sargsyan, Francesco Rizzi, Paul Mycek
Fault Resilient Domain Decomposition Preconditioner for PDEs. SIAM J. Sci. Comput. 37(5) (2015) - [c2]Francesco Rizzi, Karla Morris, Khachik Sargsyan, Paul Mycek
Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. CLUSTER 2015: 552-562 - [i2]Cosmin Safta, Richard Li-Yang Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson:
Efficient Representation of Uncertainty for Stochastic Economic Dispatch. CoRR abs/1508.05176 (2015) - 2014
- [j5]Kushal S. Kedia
A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid. J. Comput. Phys. 272: 408-428 (2014) - [i1]Cosmin Safta, Richard L. Chen, Habib N. Najm, Ali Pinar, Jean-Paul Watson:
Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems. CoRR abs/1407.2232 (2014) - 2013
- [j4]Karen Elizabeth Cheng, David J. Crary, Jaideep Ray, Cosmin Safta
Structural models used in real-time biosurveillance outbreak detection and outbreak curve isolation from noisy background morbidity levels. J. Am. Medical Informatics Assoc. 20(3): 435-440 (2013) - 2012
- [j3]Khachik Sargsyan, Cosmin Safta
Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs. SIAM J. Sci. Comput. 34(1) (2012) - [j2]Khachik Sargsyan, Cosmin Safta
Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1709-1723 (2012) - 2010
- [j1]Cosmin Safta
A high-order low-Mach number AMR construction for chemically reacting flows. J. Comput. Phys. 229(24): 9299-9322 (2010)
2000 – 2009
- 2009
- [c1]Khachik Sargsyan, Cosmin Safta, Bert J. Debusschere, Habib N. Najm:
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities. ICDM Workshops 2009: 241-247
Coauthor Index
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