Hi Rushil,
Thank you for sharing this interesting work in GitHub. I also have a requirement of using CycleGANs to synthesise simulated data (for a regression problem) matching the distribution of some lab test results and will be citing your work 👍 .
In the presentation of your ICF CycleGAN project by Brian K.Spears, I saw some Bayesian Inference techniques being used to plot some confidence intervals around the predictions (Refer: Slide 25). I like to know what Bayesian Optimization technique is being used here. Could you please add the jupyter notebook or python file demo of these plots with uncertainty measures?
Hi Rushil,
Thank you for sharing this interesting work in GitHub. I also have a requirement of using CycleGANs to synthesise simulated data (for a regression problem) matching the distribution of some lab test results and will be citing your work 👍 .
In the presentation of your ICF CycleGAN project by Brian K.Spears, I saw some Bayesian Inference techniques being used to plot some confidence intervals around the predictions (Refer: Slide 25). I like to know what Bayesian Optimization technique is being used here. Could you please add the jupyter notebook or python file demo of these plots with uncertainty measures?