Alex Glyn-Davies

According to our database, Alex Glyn-Davies authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Hierarchical Inference and Closure Learning via Adaptive Surrogates for ODEs and PDEs.

Pengyu Zhang, Arnaud Vadeboncoeur, Alex Glyn-Davies, Mark Girolami

CoRR, March, 2026

2025

Probabilistic Super-Resolution for High-Fidelity Physical System Simulations with Uncertainty Quantification.

Pengyu Zhang, Connor Duffin, Alex Glyn-Davies, Arnaud Vadeboncoeur, Mark Girolami

CoRR, February, 2025

Statistical Finite Elements via Interacting Particle Langevin Dynamics.

Alex Glyn-Davies, Connor Duffin, Ieva Kazlauskaite, Mark Girolami, Ömer Deniz Akyildiz

SIAM/ASA J. Uncertain. Quantification, 2025

2024

Φ-DVAE: Physics-informed dynamical variational autoencoders for unstructured data assimilation.

Alex Glyn-Davies, Connor Duffin, Ömer Deniz Akyildiz, Mark Girolami

J. Comput. Phys., 2024

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

Alex Glyn-Davies, Arnaud Vadeboncoeur, Ömer Deniz Akyildiz, Ieva Kazlauskaite, Mark Girolami

CoRR, 2024

2022

Anomaly detection in streaming data with gaussian process based stochastic differential equations.

Alex Glyn-Davies, Mark Girolami

Pattern Recognit. Lett., 2022

$Φ$-DVAE: Learning Physically Interpretable Representations with Nonlinear Filtering.

Alex Glyn-Davies, Connor Duffin, Ömer Deniz Akyildiz, Mark Girolami

CoRR, 2022