Name: Juan Manuel Cardenas Cardenas
Type: User
Bio: Postdoctoral Fellow in the Department of Aerospace Engineering Sciences at University of Colorado Boulder
Location: Boulder, Colorado
Blog: https://sites.google.com/view/jmcardenas/home?authuser=0
Juan Manuel Cardenas Cardenas's Projects
This is a repository associated with the paper "An adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains" by Ben Adcock, Juan M. Cardenas, and Nick Dexter available at https://arxiv.org/abs/2202.00144
This is a repository associated with the paper "CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning" by Ben Adcock, Juan M. Cardenas, and Nick Dexter submitted at Sampling Theory and Applications (SampTa), also available at https://arxiv.org/abs/2208.12190
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
A repository of jupyter hub tutorials for the PIMS CRG Summer School: "Deep Learning for Computational Mathematics."
This is a repository associated with the paper "Near-optimal sampling strategies for multivariate function on general domains" by Ben Adcock and Juan M. Cardenas available at https://epubs.siam.org/doi/10.1137/19M1279459 and https://arxiv.org/abs/1908.01249
This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360