Lorenzo Zanisi

11 papers A* 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Physical Operators using Neural Operators. CoRR Vignesh Gopakumar, Ander Gray, Daniel Giles, Lorenzo Zanisi, Matt J. Kusner, Timo Betcke, Stanislas Pamela, Marc Peter Deisenroth
2025	J	`jnl`	5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence. CoRR Gianluca Galletti, Fabian Paischer, Paul Setinek, William Hornsby, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
2025	A*	`conf`	Calibrated Physics-Informed Uncertainty Quantification. ICML Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt J. Kusner, Stanislas Pamela, Marc Peter Deisenroth
2025	J	`jnl`	Calibrated Physics-Informed Uncertainty Quantification. CoRR Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2025	J	`jnl`	Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models. CoRR Aaron Ho, Lorenzo Zanisi, Bram de Leeuw, Vincent Galvan, Pablo Rodriguez-Fernandez, Nathaniel T. Howard
2025	J	`jnl`	GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations. CoRR Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
2025	J	`jnl`	Neural-Parareal: Self-improving acceleration of fusion MHD simulations using time-parallelisation and neural operators. Comput. Phys. Commun. 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
2024	J	`jnl`	Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction. CoRR Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2024	J	`jnl`	Valid Error Bars for Neural Weather Models using Conformal Prediction. CoRR Vignesh Gopakumar, Joel Oskarrson, Ander Gray, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt J. Kusner, Marc Peter Deisenroth
2023	J	`jnl`	Fourier-RNNs for Modelling Noisy Physics Data. CoRR Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi
2023	J	`jnl`	Plasma Surrogate Modelling using Fourier Neural Operators. CoRR 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