| Understanding neural networks with reproducing kernel Banach spaces F Bartolucci, E De Vito, L Rosasco, S Vigogna arXiv preprint arXiv:2109.09710, 2021 | 37 | 2021 |
| The Radon transform intertwines wavelets and shearlets F Bartolucci, F De Mari, E De Vito, F Odone Applied and Computational Harmonic Analysis 47 (3), 822-847, 2019 | 21 | 2019 |
| Convolutional neural operators for robust and accurate learning of PDEs B Raonic, R Molinaro, T De Ryck, T Rohner, F Bartolucci, R Alaifari, ... Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
| Are neural operators really neural operators? frame theory meets operator learning F Bartolucci, E de Bézenac, B Raonić, R Molinaro, S Mishra, R Alaifari arXiv preprint arXiv:2305.19913, 2023 | 11 | 2023 |
| Phase retrieval of bandlimited functions for the wavelet transform R Alaifari, F Bartolucci, M Wellershoff Applied and Computational Harmonic Analysis, 2023 | 11 | 2023 |
| Unitarization and inversion formulae for the Radon transform between dual pairs GS Alberti, F Bartolucci, F De Mari, E De Vito SIAM Journal on Mathematical Analysis 51 (6), 4356-4381, 2019 | 10 | 2019 |
| Representation equivalent neural operators: a framework for alias-free operator learning F Bartolucci, E de Bezenac, B Raonic, R Molinaro, S Mishra, R Alaifari Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| On the connection between uniqueness from samples and stability in Gabor phase retrieval R Alaifari, F Bartolucci, S Steinerberger, M Wellershoff Sampling Theory, Signal Processing, and Data Analysis 22 (1), 6, 2024 | 5 | 2024 |
| Shearlets as Multi-scale Radon Transforms F Bartolucci, F De Mari, E De Vito, F Odone Sampling Theory in Signal and Image Processing 17, 1 - 15, 2018 | 5 | 2018 |
| Unitarization of the Horocyclic Radon Transform on Symmetric Spaces F Bartolucci, F De Mari, M Monti Harmonic and Applied Analysis: From Radon Transforms to Machine Learning, 1-54, 2021 | 3 | 2021 |
| Radon Transform: Dual Pairs and Irreducible Representations GS Alberti, F Bartolucci, FD Mari, E De Vito Landscapes of Time-Frequency Analysis: ATFA 2019, 1-28, 2020 | 2 | 2020 |
| The shearlet transform and Lizorkin spaces F Bartolucci, S Pilipović, N Teofanov Landscapes of Time-Frequency Analysis: ATFA 2019, 43-62, 2020 | 2 | 2020 |
| Unitarization and inversion formula for the Radon transform for hyperbolic motions F Bartolucci, M Monti 2019 13th International conference on Sampling Theory and Applications …, 2019 | 2 | 2019 |
| Unique wavelet sign retrieval from samples without bandlimiting R Alaifari, F Bartolucci, M Wellershoff arXiv preprint arXiv:2302.08129, 2023 | 1 | 2023 |
| Continuity properties of the shearlet transform and the shearlet synthesis operator on the Lizorkin type spaces F Bartolucci, S Pilipović, N Teofanov Mathematische Nachrichten 295 (12), 2318-2337, 2022 | 1 | 2022 |
| Unitarization of the Horocyclic Radon Transform on Homogeneous Trees F Bartolucci, F De Mari, M Monti Journal of Fourier Analysis and Applications 27 (5), 84, 2021 | 1 | 2021 |
| Cone-adapted shearlets and Radon transforms F Bartolucci, F De Mari, E De Vito Advances in Microlocal and Time-Frequency Analysis, 59-78, 2020 | 1 | 2020 |
| Neural reproducing kernel Banach spaces and representer theorems for deep networks F Bartolucci, E De Vito, L Rosasco, S Vigogna arXiv preprint arXiv:2403.08750, 2024 | | 2024 |
| Uncovering the limits of uniqueness in sampled Gabor phase retrieval: A dense set of counterexamples in L2(ℝ) R Alaifari, F Bartolucci, M Wellershoff 2023 International Conference on Sampling Theory and Applications (SampTA), 1-5, 2023 | | 2023 |
| Uncovering the limits of uniqueness in sampled Gabor phase retrieval: A dense set of counterexamples in R Alaifari, F Bartolucci, M Wellershoff arXiv preprint arXiv:2307.03940, 2023 | | 2023 |
Ernesto De VitoMaLGa Machine Learning Genoa Center - Universitŕ di GenovaVerified email at unige.it
