Barajas-Solano, David A.

1. Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery
   2021/07/05 by Seth M. Hirsh, David A. Barajas‐Solano, Hirsh, Seth M. +3 · 14 citations
   Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Control Systems and Identification
2. Physics-Informed Machine Learning with Conditional Karhunen-Loève Expansions
   2019/12/04 by Alexandre M. Tartakovsky, David A. Barajas‐Solano, Tartakovsky, Alexandre M. +3 · 3 citations
   Physics and Astronomy · Computer Science · Decision Sciences · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
3. Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems
   2023/01/26 by Yu‐Hong Yeung, Yeung, Yu-Hong, David A. Barajas‐Solano +3 · 1 citation
   Computer Science · Engineering · Environmental Science · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Gaussian Processes and Bayesian Inference #Geophysics (physics.geo-ph) #Groundwater flow and contamination studies #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods