Research Interests
Applied Harmonic Analysis • Group Representation Theory • Phase Retrieval Problems
Radon Transforms • Functional Analysis of Neural Networks
Applied Harmonic Analysis • Group Representation Theory • Phase Retrieval Problems
Radon Transforms • Functional Analysis of Neural Networks
Rima Alaifari • Giovanni S. Alberti • Emmanuel de Bézenac • Marcello Carioni • Filippo De Mari • Ernesto De Vito • José A. Iglesias • Yury Korolev • Siddhartha Mishra • Matteo Monti Emanuele Naldi • Stevan Pilipović • Lorenzo Rosasco • Stefan Steinerberger • Nenad Teofanov • Stefano Vigogna • Matthias Wellershoff
A Lipschitz spaces view of infinitely wide shallow neural networks (with M. Carioni, J.A. Iglesias, Y. Korolev, E. Naldi, S. Vigogna), 2024. https://arxiv.org/abs/2410.14591
Neural reproducing kernel Banach spaces and representer theorems for deep networks (with E. De Vito, L. Rosasco and S. Vigogna), 2024. https://arxiv.org/abs/2403.08750
Unique wavelet sign retrieval from samples without bandlimiting (with R. Alaifari and M. Wellershoff). Proc. Amer. Math. Soc. Ser. B, 11:330-344, 2024. https://doi.org/10.1090/bproc/201
On the connection between uniqueness from samples and stability in Gabor phase retrieval (with R. Alaifari, S. Steinerberger and M. Wellershoff). Sampl. Theory Signal Process. Data Anal. 22, 6, 2024. https://doi.org/10.1007/s43670-023-00079-1
Phase retrieval of bandlimited functions for the wavelet transform (with R. Alaifari and M. Wellershoff). Appl. Comput. Harmon. Anal., 64:102-117, 2023. https://doi.org/10.1016/j.acha.2023.01.002
Understanding neural networks with reproducing kernel Banach spaces (with E. De Vito, L. Rosasco and S. Vigogna). Appl. Comput. Harmon. Anal., 62:194-236, 2023. https://doi.org/10.1016/j.acha.2022.08.006
Continuity Properties of the Shearlet Transform and the Shearlet Synthesis Operator on the Lizorkin type Spaces (with S. Pilipović and N. Teofanov). Math. Nachr., 295(12), 2022. http://doi.org/10.1002/mana.202000223
Unitarization of the Horocyclic Radon Transform on Homogeneous Trees (with F. De Mari and M. Monti). J. Fourier Anal. Appl. 27, 84, 2021. https://doi.org/10.1007/s00041-021-09884-5
Unitarization and Inversion Formulae for the Radon Transform between Dual Pairs (with G. S. Alberti, F. De Mari and E. De Vito). SIAM J. Math. Anal., 51(6):4356–4381, 2019. https://doi.org/10.1137/18M1225628
The Radon Transform Intertwines Wavelets and Shearlets (with F. De Mari, E. De Vito and F. Odone). Appl. Comput. Harmon. Anal., 47(3):822-847, 2019. https://doi.org/10.1016/j.acha.2017.12.005
Shearlets as Multi-scale Radon Transforms (with F. De Mari, E. De Vito and F. Odone). STSIP 17, 1-15, 2018. https://doi.org/10.1007/BF03549609
Note: for publications accepted to NeurIPS, I specify the order in which authors are listed.
F. Bartolucci, E. de Bézenac, B. Raonić, R. Molinaro, S. Mishra, R. Alaifari, Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning, NeurIPS 2023.
B. Raonić, R. Molinaro, T. De Ryck, T. Rohner, F. Bartolucci, R. Alaifari, S. Mishra, E. de Bézenac, Convolutional Neural Operators for robust and accurate learning of PDEs, NeurIPS 2023.
Uncovering the limits of uniqueness in sampled Gabor phase retrieval: A dense set of counterexamples in L2(R) (with R. Alaifari and M. Wellershoff). 2023 14th International conference on Sampling Theory and Applications (SampTA), Yale University, 2023. https://openreview.net/forum?id=objNb10RN1E
Unitarization and Inversion Formula for the Radon Transform for Hyperbolic Motions (with M. Monti). 2019 13th International conference on Sampling Theory and Applications (SampTA), Bordeaux, France, pp. 1-5, 2019. https://doi.org/10.1109/SampTA45681.2019.9030923
Shearlets as Multi-scale Radon Transforms (with F. De Mari, E. De Vito and F. Odone). 2017 International Conference on Sampling Theory and Applications (SampTA), Tallin, Estonia, pp. 625- 629, 2017. https://doi.org/10.1109/SAMPTA.2017.8024400
Unitarization of the Horocyclic Radon Transform on Symmetric Spaces (with F. De Mari and M. Monti). In Harmonic and Applied Analysis, Appl. Numer. Harmon. Anal., Birkhäuser, 2021. https://doi.org/10.1007/978-3-030-86664-8_1
Radon Transform: Dual pairs and Irreducible representations (with G. S. Alberti, F. De Mari and E. De Vito). In Landscapes of Time-Frequency Analysis, Appl. Numer. Harmon. Anal., Birkhäuser, 2020. https://doi.org/10.1007/978-3-030-56005-8_1
The Shearlet Transform and Lizorkin Spaces (with S. Pilipović, N. Teofanov). In Landscapes of Time-Frequency Analysis, Appl. Numer. Harmon. Anal., Birkhäuser, 2020. https://doi.org/10.1007/978-3-030-56005-8_3
Cone-Adapted Shearlets and Radon Transforms (with F. De Mari and E. De Vito). In Advances in Microlocal and Time-Frequency Analysis, Appl. Numer. Harmon. Anal., Birkhäuser, 2019. https://doi.org/10.1007/978-3-030-36138-9_4
Radon Transforms: Unitarization, Inversion and Wavefront Sets. PhD Thesis. https://iris.unige.it//handle/11567/997903
Google Scholar • ResearchGate • MathSciNet
Scopus • orcid.org/0000-0001-8748-413X • arXiv