pac-bayes-wgan

This repository includes the code associated to the paper:

PAC-Bayesian generalization guarantees for adversarial generative models, ICML 2023

Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain

The codes uses the implementation of Lipschitz-continuous neural networks provided by Anil et al., 2019, as well as parts of the implementation of probabilistic neural networks provided by Perez-Ortiz et al., 2021.

Citation:

@inproceedings{mbacke2023pac,  
  title={PAC-Bayesian Generalization Guarantees for Adversarial Generative Models},  
  author={Mbacke, Sokhna Diarra and Clerc, Florence and Germain, Pascal},  
  booktitle={International Conference on Machine Learning},  
  year={2023},  
  organization={PMLR}  
}