Stefano Spigler

According to our database1, Stefano Spigler authored at least 8 papers between 2018 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
How isotropic kernels perform on simple invariants.
Mach. Learn. Sci. Technol., 2021

2020
How isotropic kernels learn simple invariants.
CoRR, 2020

2019
Disentangling feature and lazy learning in deep neural networks: an empirical study.
CoRR, 2019

Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm.
CoRR, 2019

Scaling description of generalization with number of parameters in deep learning.
CoRR, 2019

2018
A jamming transition from under- to over-parametrization affects loss landscape and generalization.
CoRR, 2018

The jamming transition as a paradigm to understand the loss landscape of deep neural networks.
CoRR, 2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018


  Loading...