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04/17/2023
Leveraging sparse and shared feature activations for disentangled representation learning
Recovering the latent factors of variation of high dimensional data has ...
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03/01/2023
Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown pote...
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10/04/2022
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Aligning the visual and language spaces requires to train deep neural ne...
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09/30/2022
Relative representations enable zero-shot latent space communication
Neural networks embed the geometric structure of a data manifold lying i...
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10/11/2021
Unsupervised Source Separation via Bayesian Inference in the Latent Domain
State of the art audio source separation models rely on supervised data-...
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03/02/2021
Learning disentangled representations via product manifold projection
We propose a novel approach to disentangle the generative factors of var...
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09/07/2020
