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stat.ML2025
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…
stat.ML2021
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…