You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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:
Are you going to add backward also to PIC?
Many thanks.
The text was updated successfully, but these errors were encountered:
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.
I reproduced the results from your paper by running
train_hclt.py
on the MNIST dataset (achieving 1.21 bpd); however, after usingbackward
with theDLTM
model, I received the following output:Are you going to add
backward
also toPIC
?Many thanks.
The text was updated successfully, but these errors were encountered: