| Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics A Racca, L Magri Neural Networks 142, 252-268, 2021 | 52 | 2021 |
| Data-driven prediction and control of extreme events in a chaotic flow A Racca, L Magri Physical Review Fluids 7 (10), 104402, 2022 | 14 | 2022 |
| Effects of ab-initio potential energy surfaces on O2-O non-equilibrium kinetics S Venturi, M Sharma Priyadarshini, A Racca, M Panesi AIAA Aviation 2019 Forum, 3358, 2019 | 11 | 2019 |
| Automatic-differentiated physics-informed echo state network (API-ESN) A Racca, L Magri International Conference on Computational Science 2021, 323-329, 2021 | 9 | 2021 |
| Predicting turbulent dynamics with the convolutional autoencoder echo state network A Racca, NAK Doan, L Magri Journal of Fluid Mechanics 975, A2, 2023 | 7* | 2023 |
| Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter A Nóvoa, A Racca, L Magri Computer Methods in Applied Mechanics and Engineering 418, 116502, 2024 | 5 | 2024 |
| Statistical prediction of extreme events from small datasets A Racca, L Magri International Conference on Computational Science 2022, 707–713, 2022 | 4 | 2022 |
| Convolutional autoencoder for the spatiotemporal latent representation of turbulence NAK Doan, A Racca, L Magri International Conference on Computational Science, 328-335, 2023 | 3 | 2023 |
| Neural networks for the prediction of chaos and turbulence A Racca University of Cambridge, 2023 | 2 | 2023 |
| Control-aware echo state networks (Ca-ESN) for the suppression of extreme events A Racca, L Magri 37th conference on Neural Information Processing Systems (NeurIPS), Machine …, 2023 | 1 | 2023 |
| Bias-aware thermoacoustic data assimilation A Nóvoa, A Racca, L Magri 51st International Congress and Exposition on Noise Control Engineering …, 2022 | 1 | 2022 |
| Quantifying the uncertainty on ab-initio rate coefficients by means of bayesian machine learning S Venturi, A Racca, M Panesi UQOP: Uncertainty Quantification and Optimization, 18-20, 2019 | 1 | 2019 |
| Convolutional autoencoded echo state network for the prediction of extreme events in turbulence NAK Doan, A Racca, L Magri | | 2022 |
Luca MagriImperial College LondonVerified email at imperial.ac.uk
