Daniel Giles

14 papers A* 3A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Physical Operators using Neural Operators.
CoRR
Vignesh Gopakumar, Ander Gray, Daniel Giles, Lorenzo Zanisi, Matt J. Kusner, Timo Betcke, Stanislas Pamela, Marc Peter Deisenroth
2025 A* conf
Calibrated Physics-Informed Uncertainty Quantification.
ICML
Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt J. Kusner, Stanislas Pamela, Marc Peter Deisenroth
2025 J jnl
Calibrated Physics-Informed Uncertainty Quantification.
CoRR
Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2025 A* conf
Learning Chaos In A Linear Way.
ICLR
Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu
2025 A* conf
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation.
ICML
Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu
2025 J jnl
Tensor-Var: Variational Data Assimilation in Tensor Product Feature Space.
CoRR
Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu
2024 J jnl
Embedding machine-learnt sub-grid variability improves climate model biases.
CoRR
Daniel Giles, James Briant, Cyril Morcrette, Serge Guillas
2024 J jnl
Scalable Data Assimilation with Message Passing.
CoRR
Oscar Key, So Takao, Daniel Giles, Marc Peter Deisenroth
2024 J jnl
Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction.
CoRR
Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2024 J jnl
Valid Error Bars for Neural Weather Models using Conformal Prediction.
CoRR
Vignesh Gopakumar, Joel Oskarrson, Ander Gray, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2023 A conf
Multilevel Bayesian Quadrature.
AISTATS
Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, François-Xavier Briol
2020 J jnl
Performance analysis of Volna-OP2 - massively parallel code for tsunami modelling.
CoRR
Daniel Giles, Eugene Kashdan, Dimitra M. Salmanidou, Serge Guillas, Frédéric Dias
2017 J jnl
Minimizing Differences of Convex Functions with Applications to Facility Location and Clustering.
J. Optim. Theory Appl.
Nguyen Mau Nam, R. Blake Rector, Daniel Giles
2016 J jnl
The Log-Exponential Smoothing Technique and Nesterov's Accelerated Gradient Method for Generalized Sylvester Problems.
J. Optim. Theory Appl.
Nguyen Thai An, Daniel Giles, Nguyen Mau Nam, R. Blake Rector