Juan M. Cardenas

Orcid: 0000-0003-1368-9276

According to our database1, Juan M. Cardenas authored at least 8 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
An Adaptive Sampling and Domain Learning Strategy for Multivariate Function Approximation on Unknown Domains.
SIAM J. Sci. Comput., February, 2023

CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning.
CoRR, 2022

A high order unfitted hybridizable discontinuous Galerkin method for linear elasticity.
CoRR, 2022

Towards optimal sampling for learning sparse approximation in high dimensions.
CoRR, 2022

2020
Near-Optimal Sampling Strategies for Multivariate Function Approximation on General Domains.
SIAM J. Math. Data Sci., 2020

2019
Optimal sampling strategies for multivariate function approximation on general domains.
CoRR, 2019


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