Francesco Cagnetta

According to our database1, Francesco Cagnetta authored at least 9 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards a theory of how the structure of language is acquired by deep neural networks.
CoRR, 2024

2023
How deep convolutional neural networks lose spatial information with training.
Mach. Learn. Sci. Technol., December, 2023

Kernels, Data & Physics.
CoRR, 2023

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.
CoRR, 2023

What Can Be Learnt With Wide Convolutional Neural Networks?
Proceedings of the International Conference on Machine Learning, 2023

2022
How Wide Convolutional Neural Networks Learn Hierarchical Tasks.
CoRR, 2022

Learning sparse features can lead to overfitting in neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
PhyDSL<sub>K</sub>: a model-driven framework for generating exergames.
Multim. Tools Appl., 2021

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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