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 ran the code you posted on github and found that the time of training for a epoch takes about half a minute but the testing takes about half a hour(The command is “python exe_physio.py --testmissingratio 0.1 --nsample 100”). May I ask if this is in line with the actual situation.
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late reply.
Yes, it's working correctly.
Our code is not fast at test time. To accelerate the speed, You can combine CSDI with methods which speed up diffusion models.
Thanks for your reply. We have already finished the comparison experiment and report as it was described in the paper.
Wenbo
tldr: our recent work is deep ensembles method combined with quantile regression. it is faster than the generative models, such as the diffusion models.
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series.
Ying Liu+, Peng Cui+, Wenbo Hu, Richang Hong https://arxiv.org/abs/2312.01294
I ran the code you posted on github and found that the time of training for a epoch takes about half a minute but the testing takes about half a hour(The command is “python exe_physio.py --testmissingratio 0.1 --nsample 100”). May I ask if this is in line with the actual situation.
The text was updated successfully, but these errors were encountered: