DIffusion hyperparameters

[gabrielvc]

Hi,

As far as i'm concerned, there is an issue with the current diffusion hyperparameters defined in the config file.
Running the current parameters for T=200 yield an sqrt(alpha_bar) of approximately 0.4, which is of course far from the Gaussian, which would be equivalent to sqrt(alpha_bar) of approximately 0.01 or something really small.
I guess this is why I can't generate ECGs using the generate function, even if my trained loss is extremely small.
Indeed, the network is able to denoise moderately noisy ecgs but generation still don't work.

Furthermore, I could not find in your paper the hyperparameters you used in the diffusion training.
I would really like to be able to reproduce your work, but for the moment it is really challenging.

[juanlopezcode]

Hi,
The network should run with the provided diffusion hyperparameters, we mentioned them in the appendix of our paper, but they are also under the config file in this repo: https://github.com/AI4HealthUOL/SSSD-ECG/blob/main/src/sssd/config/config_SSSD_ECG.json

Follow the train.py and inference.py files under the following directory, these should be your unique files to run once dataset is located (don't update diffusion hyperparameters): SSSD-ECG/src
/sssd/

I hope this helps
Best
Juan