33 citations · 87 across the 20 of their papers we have counts for
3 papers · 1 filter
Explicit and data-Efficient Encoding via Gradient Flow
Kyriakos Flouris, Anna Volokitin, Gustav Bredell +1
The autoencoder model typically uses an encoder to map data to a lower dimensional latent space and a decoder to reconstruct it. However, relying on an encoder for inversion can le…
Canonical normalizing flows for manifold learning
Kyriakos Flouris, Ender Konukoglu
Manifold learning flows are a class of generative modelling techniques that assume a low-dimensional manifold description of the data. The embedding of such a manifold into the hig…
Gradient flow encoding with distance optimization adaptive step size
Kyriakos Flouris, Anna Volokitin, Gustav Bredell +1
The autoencoder model uses an encoder to map data samples to a lower dimensional latent space and then a decoder to map the latent space representations back to the data space. Imp…