Daniel Giles

According to our database, Daniel Giles authored at least 9 papers between 2016 and 2025.

Collaborative distances:

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

2025

Tensor-Var: Variational Data Assimilation in Tensor Product Feature Space.

Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu

CoRR, January, 2025

2024

Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction.

Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt Kusner, Marc Peter Deisenroth

CoRR, 2024

Valid Error Bars for Neural Weather Models using Conformal Prediction.

Vignesh Gopakumar, Joel Oskarrson, Ander Gray, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt Kusner, Marc Peter Deisenroth

CoRR, 2024

Embedding machine-learnt sub-grid variability improves climate model biases.

Daniel Giles, James Briant, Cyril Morcrette, Serge Guillas

CoRR, 2024

Scalable Data Assimilation with Message Passing.

Oscar Key, So Takao, Daniel Giles, Marc Peter Deisenroth

CoRR, 2024

2023

Multilevel Bayesian Quadrature.

Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, François-Xavier Briol

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2020

Performance analysis of Volna-OP2 - massively parallel code for tsunami modelling.

Daniel Giles, Eugene Kashdan, Dimitra M. Salmanidou, Serge Guillas, Frédéric Dias

CoRR, 2020

2017

Minimizing Differences of Convex Functions with Applications to Facility Location and Clustering.

Nguyen Mau Nam, R. Blake Rector, Daniel Giles

J. Optim. Theory Appl., 2017

2016

The Log-Exponential Smoothing Technique and Nesterov's Accelerated Gradient Method for Generalized Sylvester Problems.

Nguyen Thai An, Daniel Giles, Nguyen Mau Nam, R. Blake Rector

J. Optim. Theory Appl., 2016