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Juan M. Cardenas
Juan M. Cardenas
Ann and H.J. Smead Department of Aerospace Engineering Sciences, University of Colorado, Boulder
Verified email at colorado.edu - Homepage
Title
Cited by
Cited by
Year
Near-optimal sampling strategies for multivariate function approximation on general domains
B Adcock, JM Cardenas
SIAM Journal on Mathematics of Data Science 2 (3), 607-630, 2020
292020
Towards optimal sampling for learning sparse approximations in high dimensions
B Adcock, JM Cardenas, N Dexter, S Moraga
High-Dimensional Optimization and Probability: With a View Towards Data …, 2022
112022
An Adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains
B Adcock, JM Cardenas, N Dexter
SIAM Journal on Scientific Computing 45 (1), A200-A225, 2023
62023
CAS4DL: Christoffel adaptive sampling for function approximation via deep learning
B Adcock, JM Cardenas, N Dexter
Sampling Theory, Signal Processing, and Data Analysis 20 (2), 21, 2022
62022
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
B Adcock, JM Cardenas, N Dexter
arXiv preprint arXiv:2306.00945, 2023
32023
A high order unfitted hybridizable discontinuous Galerkin method for linear elasticity
JM Cardenas, M Solano
arXiv preprint arXiv:2202.03410, 2022
12022
Hybridizible Discontinuous Galerkin method for linear elasticity in curved domains
JMC Cárdenas
Universidad de Concepción, 2018
12018
A unified framework for learning with nonlinear model classes from arbitrary linear samples
B Adcock, JM Cardenas, N Dexter
arXiv preprint arXiv:2311.14886, 2023
2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
JM Cardenas, B Adcock, N Dexter
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023
Adaptive sampling strategies for function approximation in high dimensions
JM Cardenas Cardenas
Simon Fraser University, 2023
2023
The quest for optimal sampling strategies for learning sparse approximations in high dimensions
JM Cardenas, N Dexter, S Moraga, B Adcock
Centro de Investigación en Ingenierıa Matemática (CI 2 MA)
JM Cárdenas, M Solano
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