Skip to content

Sheev13/meta-bdl

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

104 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Amortising Inference and Meta-Learning Priors in Neural Networks

This is the official codebase corresponding to the above-titled paper, which was accepted at ICLR 2026 and authored by Tommy Rochussen and Vincent Fortuin.

Any questions, reach out to me (Tommy) at 'rochussen' + 'tn' + '@' + 'gmail' + '.' + 'com'.

N.B. the primary model is referred to as the BNNP in the paper. At an earlier point in the project, it was called the BDNP. Some code within the experiments folder of the codebase still reflects this. Sorry about that.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published