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Found 4 papers, 1 papers with code
Implicit λ-Jeffreys Autoencoders: Taking the Best of Both Worlds
We show that it takes the best properties of VAE and GAN objectives.
Importance Weighted Hierarchical Variational Inference
Variational Inference is a powerful tool in the Bayesian modeling toolkit, however, its effectiveness is determined by the expressivity of the utilized variational distributions in terms of their ability to match the true posterior distribution.
Doubly Semi-Implicit Variational Inference
Unlike discriminator-based and kernel-based approaches to implicit variational inference, DSIVI optimizes a proper lower bound on ELBO that is asymptotically exact.
Probabilistic Adaptive Computation Time
We present a probabilistic model with discrete latent variables that control the computation time in deep learning models such as ResNets and LSTMs.
