Invmap and witness simplicial variational auto-encoders

HIGHLIGHTS

  • who: Aniss Aiman Medbouhi and colleagues from the Division of Robotics Perception and Learning, Department of Intelligent Systems, School of Electrical Engineering have published the research: InvMap and Witness Simplicial Variational Auto-Encoders, in the Journal: (JOURNAL)
  • what: The authors propose two different approaches with the aim to preserve the topological structure between the input space and the latent representation of a VAE. The authors propose the VAE as an extension of the auto-encoder to the setup using a complex for computing the regularization and the authors motivate this method theoretically using tools from . . .

     

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