Alex Glyn-Davies

activity

20222026

most cited

Φ

-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

Showing stat.MLShow all

2 papers · 1 filter

stat.ML2024

A Primer on Variational Inference for Physics-Informed Deep Generative Modelling

Alex Glyn-Davies, Arnaud Vadeboncoeur, O. Deniz Akyildiz +2

Variational inference (VI) is a computationally efficient and scalable methodology for approximate Bayesian inference. It strikes a balance between accuracy of uncertainty quantifi…

stat.ML2022★ 1 cited

$Φ$ -DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation

Alex Glyn-Davies, Connor Duffin, Ö. Deniz Akyildiz +1

Incorporating unstructured data into physical models is a challenging problem that is emerging in data assimilation. Traditional approaches focus on well-defined observation operat…

A Primer on Variational Inference for Physics-Informed Deep Generative Modelling

Φ-DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation

$Φ$ -DVAE: Physics-Informed Dynamical Variational Autoencoders for Unstructured Data Assimilation