Constructing Consonant Predictive Beliefs from Data with Scenario Theory. - Marco de Angelis 002; Roberto Rocchetta; Ander Gray; Scott Ferson (ISIPTA, 2021)

Dependent Possibilistic Arithmetic using Copulas. - Ander Gray; Dominik Hose; Marco de Angelis 002; Michael Hanss; Scott Ferson (ISIPTA, 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 (SSCI, 2021)

Correlated Boolean Operators for Uncertainty Logic. - Enrique Miralles-Dolz; Ander Gray; Edoardo Patelli; Scott Ferson (IPMU (1), 2022)

Distribution-free risk analysis. - Ander Gray; Scott Ferson; Vladik Kreinovich; Edoardo Patelli (Int. J. Approx. Reason., 2022)

Probability bounds analysis for Python. - Nicholas Gray; Scott Ferson; Marco de Angelis 002; Ander Gray; Francis J. Baumont De Oliveira (Softw. Impacts, 2022)

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; et al. (CoRR, 2023)

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)

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)

Verified propagation of imprecise probabilities in non-linear ODEs. - Ander Gray; Marcelo Forets; Christian Schilling 001; Scott Ferson; Luis Benet (Int. J. Approx. Reason., 2024)

Guaranteed Prediction Sets for Functional Surrogate Models. - Ander Gray; Vignesh Gopakumar; Sylvain Rousseau 001; Sébastien Destercke (UAI, 2025)

Guaranteed confidence-band enclosures for PDE surrogates. - Ander Gray; Vignesh Gopakumar; Sylvain Rousseau 001; Sébastien Destercke (CoRR, 2025)

Calibrated Physics-Informed Uncertainty Quantification. - Vignesh Gopakumar; Ander Gray; Lorenzo Zanisi; Timothy Nunn; Stanislas Pamela; Daniel Giles; Matt J. Kusner; Marc Peter Deisenroth (CoRR, 2025)