Lorenzo Giambagli

According to our database1, Lorenzo Giambagli authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise.
CoRR, 2024

Learning in Wilson-Cowan model for metapopulation.
CoRR, 2024

Automatic Input Feature Relevance via Spectral Neural Networks.
CoRR, 2024

2023
Complex Recurrent Spectral Network.
CoRR, 2023

A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA).
CoRR, 2023

How a Student becomes a Teacher: learning and forgetting through Spectral methods.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification.
CoRR, 2022

2021
On the training of sparse and dense deep neural networks: less parameters, same performance.
CoRR, 2021

2020
Machine learning in spectral domain.
CoRR, 2020


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