Cover Image

Compressive sensing adaptation for polynomial chaos expansions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsilifis, Panagiotis, Huan, Xun, Safta, Cosmin, Sargsyan, Khachik, Lacaze, Guilhem, Oefelein, Joseph C., Najm, Habib N., Ghanem, Roger G.
Format:	Preprint
Published:	2018
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Embedded Model Error Representation for Bayesian Model Calibration
by: Sargsyan, Khachik, et al.
Published: (2018)

Numerical Considerations for the Construction of Karhunen-Loève Expansions
by: Safta, Cosmin, et al.
Published: (2026)

Model Error Embedding with Orthogonal Gaussian Processes
by: Kuppa, Mridula, et al.
Published: (2026)

Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty
by: Mueller, Joy N., et al.
Published: (2023)

Bifidelity Karhunen-Loève Expansion Surrogate with Active Learning for Random Fields
by: Jivani, Aniket, et al.
Published: (2025)

A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel
by: Robbe, Pieterjan, et al.
Published: (2025)

Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures
by: Bonneville, Christophe, et al.
Published: (2025)

Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
by: Bonneville, Christophe, et al.
Published: (2024)

Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks
by: Bonneville, Christophe, et al.
Published: (2026)

Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling
by: Rosso, Haley, et al.
Published: (2025)

Quantification of modeling uncertainty in the Rayleigh damping model
by: Farid Ghahari, et al.
Published: (2024)

Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes
by: Hauth, Jeremiah, et al.
Published: (2024)

Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces
by: Chen, Qiuyi, et al.
Published: (2024)

Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
by: Safta, Cosmin, et al.
Published: (2024)

Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation
by: Bridgman, Wyatt, et al.
Published: (2024)

Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
by: Patel, Ravi, et al.
Published: (2024)

Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
by: Loukrezis, Dimitrios, et al.
Published: (2023)

Evaluation of the Epidemic Situation of Anthrax in Armenia Over the Last Decade
by: Satenik Kharatyan, et al.
Published: (2024)

Conformal prediction for full and sparse polynomial chaos expansions
by: Hatstatt, A., et al.
Published: (2026)

Generative modeling with low-rank Wasserstein polynomial chaos expansions
by: Gruhlke, Robert, et al.
Published: (2022)

Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)

Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
by: Robertson, Connor, et al.
Published: (2025)

Bayesian calibration of stochastic agent based model via random forest
by: Robertson, Connor, et al.
Published: (2024)

Bayesian Calibration of Stochastic Agent Based Model via Random Forest
by: Connor Robertson, et al.
Published: (2025)

Matrix denoising: Bayes-optimal estimators via low-degree polynomials
by: Semerjian, Guilhem
Published: (2024)

Consumos alimentarios sustentables en Argentina: una estimación de la disposición a pagar por alimentos orgánicos frescos y procesados por consumidores de la ciudad de Buenos Aires
by: Victoria Lacaze
Published: (2009)

EL HÉROE DE LA DISCORDIA. JUAN RAFAEL MORA PORRAS Y LA CULTURA COSTARRICENSE.
by: Catherine Lacaze
Published: (2021)

Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification
by: Sharma, Himanshu, et al.
Published: (2024)

Organizational Intelligence and Market Expansion in Jordanian Pharmaceutical Companies
by: Najm A Najm
Published: (2021)

Subcritical multiplicative chaos and the characteristic polynomial of the C$β$E
by: Lambert, Gaultier, et al.
Published: (2024)

Data-driven dimensionally decomposed generalized polynomial chaos expansion for forward uncertainty quantification
by: Choi, Hojun, et al.
Published: (2025)

Hamiltonian decompositions of the wreath product of hamiltonian decomposable digraphs
by: Lacaze-Masmonteil, Alice
Published: (2024)

Decompositions of the wreath product of certain directed graphs into directed hamiltonian cycles
by: Lacaze-Masmonteil, Alice
Published: (2024)

VALOR AGREGADO DE LOS CULTIVOS HORTÍCOLAS TRADICIONALES DE GENERAL PUEYRREDON, ARGENTINA, EN EL PERÍODO 1993-2010
by: María Victoria Lacaze
Published: (2017)

LOS FUNDAMENTOS CONCEPTUALES DEL MODELO GRAVITACIONAL DE COMERCIO: UNA REVISIÓN DE LA LITERATURA
by: María Victoria Lacaze
Published: (2023)

Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for carotid artery haemodynamics
by: Schäfer, Friederike, et al.
Published: (2024)

Uncertainty quantification via polynomial chaos expansion of myocardial fibre orientation and cardiac activation patterns
by: Lindsay C. R. Tanner, et al.
Published: (2025)

A switching Kalman filter approach to online mitigation and correction of sensor corruption for inertial navigation
by: Mustaev, Artem, et al.
Published: (2024)

Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
by: Padmanabha, Govinda Anantha, et al.
Published: (2024)

Improving the quasi-biennial oscillation via a surrogate-accelerated multi-objective optimization
by: Damiano, Luis, et al.
Published: (2025)