Stanislas Pamela

According to our database, Stanislas Pamela authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

Data-Efficient Neural Operator Training via Physics-Based Active Learning.

Alicja Polanska, Lorenzo Zanisi, Vignesh Gopakumar, Stanislas Pamela

CoRR, May, 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

TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics.

Tobia Boschi, Andrea Loreti, Nicola C. Amorisco, Rodrigo Ordonez-Hurtado, Cécile Rousseau, George K. Holt, Eszter Székely, Alexander Whittle, Samuel Jackson, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabé-Moreno, Vassil Alexandrov, Mykhaylo Zayats

CoRR, February, 2026

TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models.

Cécile Rousseau, Samuel Jackson, Rodrigo Ordonez-Hurtado, Nicola C. Amorisco, Tobia Boschi, George K. Holt, Andrea Loreti, Eszter Székely, Alexander Whittle, Adriano Agnello, Stanislas Pamela, Alessandra Pascale, Robert Akers, Juan Bernabé-Moreno, Sue Thorne, Mykhaylo Zayats

CoRR, February, 2026

2025

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations.

Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter

CoRR, October, 2025

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence.

Gianluca Galletti, Fabian Paischer, Paul Setinek, William Hornsby, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter

CoRR, February, 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

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

FAIR-MAST: A fusion device data management system.

Samuel Jackson, Saiful Khan, Nathan Cummings, James Hodson, Shaun De Witt, Stanislas Pamela, Rob J. Akers, Jeyan Thiyagalingam

SoftwareX, 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

Inverse Rendering of Fusion Plasmas: Inferring Plasma Composition from Imaging Systems.

Ekin Öztürk, Rob J. Akers, Stanislas Pamela, MAST Team, Pieter Peers, Abhijeet Ghosh

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

Fourier-RNNs for Modelling Noisy Physics Data.

Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi

CoRR, 2023

Stabilized bi-cubic Hermite Bézier finite element method with application to gas-plasma interactions occurring during massive material injection in tokamaks.

Ashish Bhole, Boniface Nkonga, José Tarcísio Costa, Guido Huijsmans, Stanislas Pamela, Matthias Hoelzl

Comput. Math. Appl., 2023

2022

A generalised formulation of G-continuous Bezier elements applied to non-linear MHD simulations.

Stanislas Pamela, G. T. A. Huijsmans, Matthias Hoelzl, JOREK Team

J. Comput. Phys., 2022

Treatment of polar grid singularities in the bi-cubic Hermite-Bézier approximations: Isoparametric finite element framework.

Ashish Bhole, Boniface Nkonga, Stanislas Pamela, Guido Huijsmans, Matthias Hoelzl

J. Comput. Phys., 2022

Loss Landscape Engineering via Data Regulation on PINNs.

Vignesh Gopakumar, Stanislas Pamela, Debasmita Samaddar

CoRR, 2022

2019

A wall-aligned grid generator for non-linear simulations of MHD instabilities in tokamak plasmas.

Stanislas Pamela, Guido Huijsmans, A. J. Thornton, Andrew Kirk, S. F. Smith, Matthias Hoelzl, T. Eich

Comput. Phys. Commun., 2019