On particle movers in cylindrical geometry for Particle-In-Cell simulations. - Gian Luca Delzanno; Enrico Camporeale (J. Comput. Phys., 2013)

On the velocity space discretization for the Vlasov-Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods. - Enrico Camporeale; Gian Luca Delzanno; Benjamin K. Bergen 002; J. David Moulton (Comput. Phys. Commun., 2016)

Accuracy-Reliability Cost Function for Empirical Variance Estimation. - Enrico Camporeale (CoRR, 2018)

Dynamic Time Lag Regression: Predicting What & When. - Mandar Chandorkar; Cyril Furtlehner; Bala Poduval; Enrico Camporeale; Michèle Sebag (ICLR, 2020)

Estimation of Accurate and Calibrated Uncertainties in Deterministic models. - Enrico Camporeale; Algo Carè (CoRR, 2020)

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. - Gelu Nita; Manolis K. Georgoulis; Irina Kitiashvili; Viacheslav Sadykov; Enrico Camporeale; Alexander Kosovichev; Haimin Wang; Vincent Oria; Jason T. L. Wang; Rafal A. Angryk; Berkay Aydin; Azim Ahmadzadeh; et al. (CoRR, 2020)

A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission. - Carl Shneider; Andong Hu; Ajay K. Tiwari; Monica G. Bobra; Karl Battams; Jannis Teunissen; Enrico Camporeale (CoRR, 2021)

Multi-Hour Ahead Dst Index Prediction Using Multi-Fidelity Boosted Neural Networks. - A. Hu; Enrico Camporeale; B. Swiger (CoRR, 2022)

Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050. - Ryan M. McGranaghan; Barbara J. Thompson; Enrico Camporeale; J. Bortnik; Monica G. Bobra; G. Lapenta; S. Wing; Bala Poduval; S. Lotz; S. Murray; Michael S. F. Kirk; T. Y. Chen; et al. (CoRR, 2022)