ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA

NIPS 2020, 2020.

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We further prove a fundamental connection between energy-based models and latent variable models, showing that ICE-BeeM is able to estimate nonlinear ICA, as a special case

Abstract:

We consider the identifiability theory of probabilistic models and establish sufficient conditions under which the representations learned by a very broad family of conditional energy-based models are unique in function space, up to a simple transformation. In our model family, the energy function is the dot-product between two feature ex...More
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