Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DLTM Sampling #1

Open
mlnpapez opened this issue Jun 17, 2024 · 1 comment
Open

DLTM Sampling #1

mlnpapez opened this issue Jun 17, 2024 · 1 comment

Comments

@mlnpapez
Copy link

mlnpapez commented Jun 17, 2024

I reproduced the results from your paper by running train_hclt.py on the MNIST dataset (achieving 1.21 bpd); however, after using backward with the DLTM model, I received the following output:
samples

Are you going to add backward also to PIC?

Many thanks.

@gengala
Copy link
Owner

gengala commented Jun 17, 2024

Hi, many thanks for playing with the code! The backward pass will not be implemented in PICs, as sampling from those energy-based-like neural nets is not straightforward and requires approximate techniques.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants