Integrated real-time supervisory management for off-normal-event handling and feedback control of tokamak plasmas. - Trang Vu; Federico Felici; Cristian Galperti; Marc Maraschek; Alessandro Pau; Natale Rispoli; Olivier Sauter; Bernhard Sieglin (CoRR, 2020)

A machine-learning-based tool for last closed magnetic flux surface reconstruction on tokamak. - Chenguang Wan; Zhi Yu; Alessandro Pau; Xiaojuan Liu; Jiangang Li (CoRR, 2022)

Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy. - Lucas Spangher; Allen M. Wang; Andrew Maris; Myles Stapelberg; Viraj Mehta; Alex Saperstein; Stephen Lane-Walsh; Akshata Kishore Moharir; Alessandro Pau; Cristina Rea (ICML, 2024)

Towards Transparent and Accurate Plasma State Monitoring at JET. - Andrin Bürli; Alessandro Pau; Thomas Koller; Olivier Sauter; JET Contributors (CoRR, 2025)

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV. - Allen M. Wang; Alessandro Pau; Cristina Rea; Oswin So; Charles Dawson 001; Olivier Sauter; Mark D. Boyer; Anna Vu; Cristian Galperti; Chuchu Fan; Antoine Merle; Yoeri Poels; et al. (CoRR, 2025)

Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods. - Yoeri Poels; Cristina Venturini; Alessandro Pau; Olivier Sauter; Vlado Menkovski; TCV Team; The WPTE team (CoRR, 2025)

Plasma State Monitoring and Disruption Characterization using Multimodal VAEs. - Yoeri Poels; Alessandro Pau; Christian Donner; Giulio Romanelli; Olivier Sauter; Cristina Venturini; Vlado Menkovski; TCV Team; The WPTE team (CoRR, 2025)