Skip to content
/ EMCMC Public

PyTorch implementation of the paper "Entropy-MCMC: Sampling from Flat Basins with Ease" (ICLR 2024)

Notifications You must be signed in to change notification settings

lblaoke/EMCMC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Environment requirements

python>=3.8
pytorch==1.12

Command

python exp/cifar10_emcmc.py
python exp/cifar100_emcmc.py
CUDA_VISIBLE_DEVICES=0,1,2,3 python exp/imagenet_emcmc.py

Citation

@inproceedings{lientropy,
  title={Entropy-MCMC: Sampling from Flat Basins with Ease},
  author={Li, Bolian and Zhang, Ruqi},
  booktitle={The Twelfth International Conference on Learning Representations}
}

About

PyTorch implementation of the paper "Entropy-MCMC: Sampling from Flat Basins with Ease" (ICLR 2024)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages