| Surrogate modeling of aerodynamic simulations for multiple operating conditions using machine learning R Dupuis, JC Jouhaud, P Sagaut Aiaa Journal 56 (9), 3622-3635, 2018 | 50 | 2018 |
| Automatic classification of plasma regions in near-Earth space with supervised machine learning: Application to magnetospheric multi scale 2016–2019 observations H Breuillard, R Dupuis, A Retino, O Le Contel, J Amaya, G Lapenta Frontiers in Astronomy and Space Sciences 7, 55, 2020 | 27 | 2020 |
| BATMAN: Statistical analysis for expensive computer codes made easy P T. Roy, S Ricci, R Dupuis, R Campet, JC Jouhaud, C Fournier The Journal of Open Source Software 3 (21), 493, 2018 | 21 | 2018 |
| Characterizing magnetic reconnection regions using Gaussian mixture models on particle velocity distributions R Dupuis, MV Goldman, DL Newman, J Amaya, G Lapenta The Astrophysical Journal 889 (1), 22, 2020 | 19 | 2020 |
| A deep learning approach to infer galaxy cluster masses from Planck Compton-y parameter maps D de Andres, W Cui, F Ruppin, M De Petris, G Yepes, G Gianfagna, ... Nature Astronomy 6 (11), 1325-1331, 2022 | 18 | 2022 |
| Aerodynamic data predictions for transonic flows via a machine-learning-based surrogate model R Dupuis, JC Jouhaud, P Sagaut 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018 | 18 | 2018 |
| Visualizing and interpreting unsupervised solar wind classifications J Amaya, R Dupuis, ME Innocenti, G Lapenta Frontiers in Astronomy and Space Sciences 7, 553207, 2020 | 13 | 2020 |
| Unsupervised classification of simulated magnetospheric regions ME Innocenti, J Amaya, J Raeder, R Dupuis, B Ferdousi, G Lapenta Annales Geophysicae 39 (5), 861-881, 2021 | 12 | 2021 |
| A framework using contrastive learning for classification with noisy labels M Ciortan, R Dupuis, T Peel Data 6 (6), 61, 2021 | 11 | 2021 |
| Dynamic distortion simulations for curved aeronautical intakes N Chiereghin, DG MacManus, M Savill, R Dupuis Royal Aeronautical Society (RAeS), 2014 | 11 | 2014 |
| Mass Estimation of Planck Galaxy Clusters using Deep Learning D de Andres, W Cui, F Ruppin, M De Petris, G Yepes, I Lahouli, ... EPJ Web of Conferences 257, 00013, 2022 | 7 | 2022 |
| Surrogate models coupled with machine learning to approximate complex physical phenomena involving aerodynamic and aerothermal simulations R Dupuis | 4 | 2019 |
| Improved Surrogate Modeling using Machine Learning for Industrial Civil Aircraft Aerodynamics R Dupuis, JC Jouhaud, P Sagaut arXiv preprint arXiv:1912.04706, 2019 | 2 | 2019 |
| Visualizing and Interpreting Unsupervised Solar Wind J Amaya, R Dupuis, ME Innocenti, G Lapenta Machine Learning in Heliophysics, 2021 | | 2021 |
| Italian Solar Orbiter-SWA Working Group on Machine Learning and Artificial Intelligence R De Marco, T Alberti, J Amaya, R Bruno, F Califano, E Camporeale, ... AGU Fall Meeting Abstracts 2020, SH036-0019, 2020 | | 2020 |
| Automatic Plasma Processes Detection with Supervised Machine Learning: Application to Plasma Jet Dipolarization Fronts in Near-Earth Space using MMS Data A Retino, H Breuillard, R Dupuis, O Le Contel, J Amaya, G Lapenta AGU Fall Meeting Abstracts 2020, SM041-0003, 2020 | | 2020 |
| Visualization and Interpretation of Unsupervised Solar Wind Classifications J Amaya, R Dupuis, ME Innocenti, G Lapenta AGU Fall Meeting Abstracts 2020, NG006-04, 2020 | | 2020 |
| Automated characterization of magnetic reconnection using particle distributions R Dupuis, J Amaya, G Lapenta, M Goldman, D Newman EGU General Assembly Conference Abstracts, 15156, 2020 | | 2020 |
| Unsupervised classification of the solar wind using Self-Organizing Maps J Amaya, R Dupuis, G Lapenta EGU General Assembly Conference Abstracts, 15568-15568, 2020 | | 2020 |
