Biblio
Filters: Author is Julien Brajard [Clear All Filters]
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science 2, (2020). Abstract
Connections between data assimilation and machine learning to emulate a numerical model. (2019).doi:10.5065/y82j-f154
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear processes in geophysics 26, (2019).
Impact of sparse profile sampling on the reconstruction of subsurface ocean temperature from surface information. (2019).doi:10.5065/y82j-f154
Learning the hidden dynamics of ocean temperature with neural networks. (2019).doi:10.5065/y82j-f154
