PIE: Pseudo-Invertible Encoder

Understand

We consider the problem of information compression from high dimensional data.

• Where many studies consider the problem of compression by non-invertible transformations, we emphasize the importance of invertible compression.
• We introduce new class of likelihood-based autoencoders with pseudo bijective architecture, which we call Pseudo Invertible Encoders.
• We provide the theoretical explanation of their principles.