Ander Gray

According to our database, Ander Gray authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Learning Physical Operators using Neural Operators.

Vignesh Gopakumar, Ander Gray, Daniel Giles, Lorenzo Zanisi, Matt J. Kusner, Timo Betcke, Stanislas Pamela, Marc Peter Deisenroth

CoRR, February, 2026

2025

Guaranteed confidence-band enclosures for PDE surrogates.

Ander Gray, Vignesh Gopakumar, Sylvain Rousseau, Sébastien Destercke

CoRR, January, 2025

Guaranteed Prediction Sets for Functional Surrogate Models.

Ander Gray, Vignesh Gopakumar, Sylvain Rousseau, Sébastien Destercke

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Calibrated Physics-Informed Uncertainty Quantification.

Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt J. Kusner, Stanislas Pamela, Marc Peter Deisenroth

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Verified propagation of imprecise probabilities in non-linear ODEs.

Ander Gray, Marcelo Forets, Christian Schilling, Scott Ferson, Luis Benet

Int. J. Approx. Reason., January, 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 J. 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 J. Kusner, Marc Peter Deisenroth

CoRR, 2024

2023

Plasma Surrogate Modelling using Fourier Neural Operators.

Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi, Zongyi Li, Ander Gray, Daniel Brennand, Nitesh Bhatia, Gregory Stathopoulos, Matt J. Kusner, Marc Peter Deisenroth, Anima Anandkumar, JOREK Team, MAST Team

CoRR, 2023

2022

Probability bounds analysis for Python.

Nicholas Gray, Scott Ferson, Marco de Angelis, Ander Gray, Francis J. Baumont De Oliveira

Softw. Impacts, 2022

Distribution-free risk analysis.

Ander Gray, Scott Ferson, Vladik Kreinovich, Edoardo Patelli

Int. J. Approx. Reason., 2022

Correlated Boolean Operators for Uncertainty Logic.

Enrique Miralles-Dolz, Ander Gray, Edoardo Patelli, Scott Ferson

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021

While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible.

Ander Gray, Scott Ferson, Olga Kosheleva, Vladik Kreinovich

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Dependent Possibilistic Arithmetic using Copulas.

Ander Gray, Dominik Hose, Marco de Angelis, Michael Hanss, Scott Ferson

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Constructing Consonant Predictive Beliefs from Data with Scenario Theory.

Marco de Angelis, Roberto Rocchetta, Ander Gray, Scott Ferson

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021