Image mapping the temporal evolution of edge characteristics in tokamaks using neural networks. - Vignesh Gopakumar; D. Samaddar (Mach. Learn. Sci. Technol., 2020)

Loss Landscape Engineering via Data Regulation on PINNs. - Vignesh Gopakumar; Stanislas Pamela; Debasmita Samaddar (CoRR, 2022)

Fourier-RNNs for Modelling Noisy Physics Data. - Vignesh Gopakumar; Stanislas Pamela; Lorenzo Zanisi (CoRR, 2023)

Shaping of Magnetic Field Coils in Fusion Reactors using Bayesian Optimisation. - Timothy Nunn; Vignesh Gopakumar; Sebastien Kahn (CoRR, 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; et al. (CoRR, 2023)

Fast regression of the tritium breeding ratio in fusion reactors. - Petr Mánek; Graham W. Van Goffrier; Vignesh Gopakumar; Nikolaos Nikolaou; Jonathan Shimwell; Ingo P. Waldmann (Mach. Learn. Sci. Technol., 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)

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

Neural-Parareal: Self-improving acceleration of fusion MHD simulations using time-parallelisation and neural operators. - Stanislas Pamela; Naomi Carey; Johannes Brandstetter; Rob J. Akers; Lorenzo Zanisi; James Buchanan; Vignesh Gopakumar; Matthias Hoelzl; Guido Huijsmans; Kamran Pentland; James Tickner; G. Antonucci (Comput. Phys. Commun., 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)