Lorenzo Chicchi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Ordinary Differential Equations

Top Venues

J. Comput. Neurosci.

Publications

Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli
Automatic Input Feature Relevance via Spectral Neural Networks. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli
Learning in Wilson-Cowan model for metapopulation. CoRR (2024)
Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Lorenzo Giambagli, Duccio Fanelli
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing. CoRR (2023)
Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
How a student becomes a teacher: learning and forgetting through Spectral methods. CoRR (2023)
Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli
Complex Recurrent Spectral Network. CoRR (2023)
Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli
A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). CoRR (2023)
Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli
How a Student becomes a Teacher: learning and forgetting through Spectral methods. NeurIPS (2023)
Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification. CoRR (2022)
Lorenzo Chicchi, Gloria Cecchini, Ihusan Adam, Giuseppe de Vito, Roberto Livi, Francesco Saverio Pavone, Ludovico Silvestri, Lapo Turrini, Francesco Vanzi, Duccio Fanelli
Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging. J. Comput. Neurosci. 49 (2) (2021)
Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Marco Ciavarella, Duccio Fanelli
On the training of sparse and dense deep neural networks: less parameters, same performance. CoRR (2021)