Discrepancy between the paper and the guidance branch's readme?
Asduffo opened this issue · comments
Hello
I have noticed one thing: in the guidance branch's readme, you explicitly instruct the user to train the unconditional model without extra features:
"Train an unconditional model without extra features, for example: python3 main.py +experiment=test
"
However, the paper's algorithm 3 on page 7 clearly uses the extra features:
Did I miss something? And regardless, did you use them in the experiments you have shown in your paper?
It's a mistake in the paper, the unconditional model should not use the extra feature. The reason is that later we take the gradient with respect to X and E, and we would like these gradients to be as informative as possible. Since the extra features are not differentiable, we prefer not to use them.