Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/arn4/committe-learning
Python package for simulating the dynamics of committee machines
https://github.com/arn4/committe-learning
Last synced: about 11 hours ago
JSON representation
Python package for simulating the dynamics of committee machines
- Host: GitHub
- URL: https://github.com/arn4/committe-learning
- Owner: arn4
- Created: 2023-03-17T15:06:47.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-06T14:52:43.000Z (12 months ago)
- Last Synced: 2023-12-06T15:45:05.023Z (12 months ago)
- Language: Python
- Size: 185 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# committe-learning
This is a Python package for studyding low-dimnesional sufficient statistics of two-layer neural network.This is a work in progress and unfortunately there is no documentation, but feel free to contact me with any questions.
### Paper using this
- Luca Arnaboldi, Florent Krzakala, Bruno Loureiro, Ludovic Stephan *Escaping mediocrity: how two-layer networks learn hard single-index models with SGD*, 2023 [https://arxiv.org/abs/2305.18502](https://arxiv.org/abs/2305.18502).
- Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro *From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks*, 2023 .