[D] Problems with WGAN for time series imputation

I am trying to implement a WGAN for time series imputation. However, I am facing many problems due to the fact that I am a novice in generational models and I am not used to many concepts related to WGAN.

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I know that WGAN have a problem with critical weights that make them diverge infinitely, and there are three main ways to solve this problem as discussed in this other [post](https://www.reddit.com/r/learnmachinelearning/comments/17cma9u/some_things_i_learned_about_gan_training/k6058ed/?context=3). However, implementing them with the use of recurrent …

concepts imputation machinelearning series threshold time series wgan