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ORCIDVignesh Gopakumar
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2020 – today
- 2025
[j3]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:
Neural-Parareal: Self-improving acceleration of fusion MHD simulations using time-parallelisation and neural operators. Comput. Phys. Commun. 307: 109391 (2025)- [i9]Ander Gray, Vignesh Gopakumar, Sylvain Rousseau, Sébastien Destercke:
Guaranteed confidence-band enclosures for PDE surrogates. CoRR abs/2501.18426 (2025) - [i8]Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth:
Calibrated Physics-Informed Uncertainty Quantification. CoRR abs/2502.04406 (2025) - 2024
- [i7]Vignesh Gopakumar, Joel Oskarrson, Ander Gray, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth:
Valid Error Bars for Neural Weather Models using Conformal Prediction. CoRR abs/2406.14483 (2024) - [i6]Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth:
Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction. CoRR abs/2408.09881 (2024) - 2023
- [j2]Petr Mánek, Graham W. Van Goffrier, Vignesh Gopakumar, Nikolaos Nikolaou, Jonathan Shimwell, Ingo P. Waldmann:
Fast regression of the tritium breeding ratio in fusion reactors. Mach. Learn. Sci. Technol. 4(1): 15008 (2023) - [i5]Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi:
Fourier-RNNs for Modelling Noisy Physics Data. CoRR abs/2302.06534 (2023) - [i4]Timothy Nunn, Vignesh Gopakumar, Sebastien Kahn:
Shaping of Magnetic Field Coils in Fusion Reactors using Bayesian Optimisation. CoRR abs/2310.01455 (2023) - [i3]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:
Plasma Surrogate Modelling using Fourier Neural Operators. CoRR abs/2311.05967 (2023) - 2022
- [i2]Vignesh Gopakumar, Stanislas Pamela, Debasmita Samaddar:
Loss Landscape Engineering via Data Regulation on PINNs. CoRR abs/2205.07843 (2022) - 2021
- [i1]Petr Mánek, Graham W. Van Goffrier, Vignesh Gopakumar, Nikolaos Nikolaou, Jonathan Shimwell, Ingo P. Waldmann:
Fast Regression of the Tritium Breeding Ratio in Fusion Reactors. CoRR abs/2104.04026 (2021) - 2020
- [j1]Vignesh Gopakumar, D. Samaddar:
Image mapping the temporal evolution of edge characteristics in tokamaks using neural networks. Mach. Learn. Sci. Technol. 1(1): 15006 (2020)
Coauthor Index
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