Enrico Camporeale

According to our database, Enrico Camporeale authored at least 12 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions.

Rileigh Bandy, Enrico Camporeale, Andong Hu, Thomas Berger, Rebecca Morrison

CoRR, April, 2026

2025

PARIS: Pruning Algorithm via the Representer theorem for Imbalanced Scenarios.

Enrico Camporeale

CoRR, December, 2025

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review.

Samuel Burles, Enrico Camporeale

CoRR, November, 2025

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, H. M. Bain, P. Riley, B. Tremblay, M. Cheung, Véronique Delouille

CoRR, 2022

Multi-Hour Ahead Dst Index Prediction Using Multi-Fidelity Boosted Neural Networks.

Andong Hu, Enrico Camporeale, B. Swiger

CoRR, 2022

2021

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

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, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine G. Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

Estimation of Accurate and Calibrated Uncertainties in Deterministic models.

Enrico Camporeale, Algo Carè

CoRR, 2020

Dynamic Time Lag Regression: Predicting What & When.

Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michèle Sebag

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Accuracy-Reliability Cost Function for Empirical Variance Estimation.

Enrico Camporeale

CoRR, 2018

2016

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, J. David Moulton

Comput. Phys. Commun., 2016

2013

On particle movers in cylindrical geometry for Particle-In-Cell simulations.

Gian Luca Delzanno, Enrico Camporeale

J. Comput. Phys., 2013