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Found 2 papers, 2 papers with code
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS
We argue that the high variance characteristic is due to the uncontrolled complexity of the critic's hypothesis space.
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
In this work, we propose Mutual Information Predictive Auto-Encoder (MIPAE) framework, that reduces the task of predicting high dimensional video frames by factorising video representations into content and low dimensional pose latent variables that are easy to predict.
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