Recovering the latent factors of variation of high dimensional data has ...
The use of relative representations for latent embeddings has shown pote...
Aligning the visual and language spaces requires to train deep neural
ne...
Neural networks embed the geometric structure of a data manifold lying i...
State of the art audio source separation models rely on supervised
data-...
We propose a novel approach to disentangle the generative factors of
var...
We introduce a novel computational framework for digital geometry proces...