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We tackle the problems of latent variables identification and ``out-of-support'' image generation in representation learning.
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A theory of independent mechanisms for extrapolation in generative models
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Disentangling identifiable features from noisy data with structured nonlinear ICA
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Embrace the gap: VAEs perform independent mechanism analysis
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On the identifiability of nonlinear ICA: Sparsity and beyond
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