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
Will it be possible to support multivariate normal distributions just like pytorch does, where user can provide custom covariance matrix in the future?
I want to implement a VAE where the inference model produce a mean and a first-order autoregressive covariance matrix, and the posterior distribution is multivariate.
The text was updated successfully, but these errors were encountered:
Will it be possible to support multivariate normal distributions just like pytorch does, where user can provide custom covariance matrix in the future?
I want to implement a VAE where the inference model produce a mean and a first-order autoregressive covariance matrix, and the posterior distribution is multivariate.
The text was updated successfully, but these errors were encountered: