Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer

Neural Information Processing Systems 

However, without explicit supervision, which is often unavailable, the representation is usually uninterpretable, making analysis and principled progress challenging. We propose a framework, called latent responses, which exploits the locally contrac-tive behavior exhibited by variational autoencoders to explore the learned manifold.

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