| K-planes: Explicit radiance fields in space, time, and appearance S Fridovich-Keil, G Meanti, FR Warburg, B Recht, A Kanazawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 195 | 2023 |
| Kernel methods through the roof: handling billions of points efficiently G Meanti, L Carratino, L Rosasco, A Rudi Advances in Neural Information Processing Systems 33, 14410-14422, 2020 | 109 | 2020 |
| Frederik Rahbæk Warburg S Fridovich-Keil, G Meanti Benjamin Recht, and Angjoo Kanazawa. K-planes: Explicit radiance fields in …, 2023 | 16 | 2023 |
| Efficient hyperparameter tuning for large scale kernel ridge regression G Meanti, L Carratino, E De Vito, L Rosasco International Conference on Artificial Intelligence and Statistics, 6554-6572, 2022 | 14 | 2022 |
| Estimating Koopman operators with sketching to provably learn large scale dynamical systems G Meanti, A Chatalic, V Kostic, P Novelli, M Pontil, L Rosasco Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Physics informed machine learning for wind speed prediction D Lagomarsino-Oneto, G Meanti, N Pagliana, A Verri, A Mazzino, ... Energy 268, 126628, 2023 | 5* | 2023 |
| Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot F Ceola, E Maiettini, G Pasquale, G Meanti, L Rosasco, L Natale IEEE Transactions on robotics 38 (5), 3154-3172, 2022 | 5 | 2022 |
| Multiclass learning with margin: exponential rates with no bias-variance trade-off S Vigogna, G Meanti, E De Vito, L Rosasco International Conference on Machine Learning, 22260-22269, 2022 | 2 | 2022 |
| Large Scale Kernel Methods for Fun and Profit G Meanti | | 2023 |
