I am trying to optimize an autoencoder network with optuna, but I am having difficulty deciding an appropriate objective function return value. As we know, the goal in autoencoder is to reconstruct ...

This paper proposes a variational autoencoder with optimizing Gaussian mixture model priors. This method utilizes a Gaussian mixture model to ... greedy algorithm is used to solve the KL distance for ...

loss_function: Integrates reconstruction, KL divergence, and Ramachandran angle losses into a unified training objective. adjust_weights : Dynamically tunes loss weights to optimize training ...

This paper proposes a variational autoencoder with optimizing Gaussian mixture model priors. This method utilizes a Gaussian mixture model to ... greedy algorithm is used to solve the KL distance for ...