David Barajas-Solano

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Data Assimilation

Emission Tomography

Top Venues

Publications

Yifei Zong, David Barajas-Solano, Alexandre M. Tartakovsky
Randomized Physics-Informed Neural Networks for Bayesian Data Assimilation. CoRR (2024)
Yifei Zong, David Barajas-Solano, Alexandre M. Tartakovsky
Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems. CoRR (2023)
Subhrajit Sinha, Sai Pushpak Nandanoori, David Barajas-Solano
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data. CoRR (2022)
Daniel Dylewsky, David Barajas-Solano, Tong Ma, Alexandre M. Tartakovsky, J. Nathan Kutz
Stochastically Forced Ensemble Dynamic Mode Decomposition for Forecasting and Analysis of Near-Periodic Systems. IEEE Access 10 (2022)
Daniel Dylewsky, David Barajas-Solano, Tong Ma, Alexandre M. Tartakovsky, J. Nathan Kutz
Dynamic mode decomposition for forecasting and analysis of power grid load data. CoRR (2020)
QiZhi He, David Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport. CoRR (2019)