Julio Enrique Castrillón-Candás

20 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analytic regularity of strong solutions for the complexified stochastic nonlinear Poisson-Boltzmann equation. Comput. Math. Appl. Brian Choi, Jie Xu, Trevor Norton, Mark Kon, Julio Enrique Castrillón-Candás
2026	J	`jnl`	Complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains. Numerische Mathematik Trevor Norton, Jie Xu, Brian Choi, Mark Kon, Julio Enrique Castrillón-Candás
2025	J	`jnl`	deFOREST: Fusing Optical and Radar satellite data for Enhanced Sensing of Tree-loss. CoRR Julio Enrique Castrillón-Candás, Hanfeng Gu, Caleb Meredith, Yulin Li, Xiaojing Tang, Pontus Olofsson, Mark Kon
2024	J	`jnl`	Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. IEEE Trans. Big Data Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás
2024	J	`jnl`	Spatial best linear unbiased prediction: a computational mathematics approach for high dimensional massive datasets. Adv. Comput. Math. Julio Enrique Castrillón-Candás
2023	J	`jnl`	Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation. CoRR Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás
2023	J	`jnl`	Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains. CoRR Trevor Norton, Jie Xu, Brian Choi, Mark A. Kon, Julio Enrique Castrillón-Candás
2022	J	`jnl`	Anomaly detection: A functional analysis perspective. J. Multivar. Anal. Julio Enrique Castrillón-Candás, Mark A. Kon
2022	J	`jnl`	Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection. CoRR Julio Enrique Castrillón-Candás, Mark A. Kon
2021	J	`jnl`	A hybrid collocation-perturbation approach for PDEs with random domains. Adv. Comput. Math. Julio Enrique Castrillón-Candás, Fabio Nobile, Raúl Tempone
2021	J	`jnl`	A stochastic collocation approach for parabolic PDEs with random domain deformations. Comput. Math. Appl. Julio Enrique Castrillón-Candás, Jie Xu
2021	J	`jnl`	Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation. CoRR Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás
2021	J	`jnl`	Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. CoRR Xiaoyu Wang, Wenrui Li, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás
2021	J	`jnl`	Stochastic functional analysis with applications to robust machine learning. CoRR Julio Enrique Castrillón-Candás, Dingning Liu, Mark A. Kon
2020	J	`jnl`	Analytic regularity and stochastic collocation of high-dimensional Newton iterates. Adv. Comput. Math. Julio Enrique Castrillón-Candás, Mark A. Kon
2016	J	`jnl`	Analytic regularity and collocation approximation for elliptic PDEs with random domain deformations. Comput. Math. Appl. Julio Enrique Castrillón-Candás, Fabio Nobile, Raúl Tempone
2011	J	`jnl`	A Discrete Adapted Hierarchical Basis Solver For Radial Basis Function Interpolation CoRR Julio Enrique Castrillón-Candás, Jun Li, Victor Eijkhout
2003	J	`jnl`	Spatially Adapted Multiwavelets and Sparse Representation of Integral Equations on General Geometries. SIAM J. Sci. Comput. Julio Enrique Castrillón-Candás, Kevin Amaratunga
2002	J	`jnl`	Fast estimation of continuous Karhunen-Loeve eigenfunctions using wavelets. IEEE Trans. Signal Process. Julio Enrique Castrillón-Candás, Kevin Amaratunga
2001	—	`—`	Spatially adaptive multiwavelet representations on unstructured grids with applications to multidimensional computational modeling. Julio Enrique Castrillón-Candás