Pietro Rotondo

Orcid: 0000-0001-6745-6166

According to our database1, Pietro Rotondo authored at least 9 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization.
Nat. Mac. Intell., 2024

Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers.
CoRR, 2024

2023
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit.
Nat. Mac. Intell., December, 2023

Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks.
CoRR, 2023

Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation.
CoRR, 2023

2020
Beyond the storage capacity: data driven satisfiability transition.
CoRR, 2020

2019
Intrinsic dimension estimation for locally undersampled data.
CoRR, 2019

Counting the learnable functions of structured data.
CoRR, 2019

2016
Measuring logic complexity can guide pattern discovery in empirical systems.
Complex., 2016


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