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of 4
pro vyhledávání: '"Bounoua, Mustapha"'
The analysis of scientific data and complex multivariate systems requires information quantities that capture relationships among multiple random variables. Recently, new information-theoretic measures have been developed to overcome the shortcomings
Externí odkaz:
http://arxiv.org/abs/2402.05667
In this work we present a new method for the estimation of Mutual Information (MI) between random variables. Our approach is based on an original interpretation of the Girsanov theorem, which allows us to use score-based diffusion models to estimate
Externí odkaz:
http://arxiv.org/abs/2310.09031
Multi-modal data-sets are ubiquitous in modern applications, and multi-modal Variational Autoencoders are a popular family of models that aim to learn a joint representation of the different modalities. However, existing approaches suffer from a cohe
Externí odkaz:
http://arxiv.org/abs/2306.04445
Autor:
Bounoua, Mustapha1,2 (AUTHOR) giulio.franzese@eurecom.fr, Franzese, Giulio2 (AUTHOR) pietro.michiardi@eurecom.fr, Michiardi, Pietro2 (AUTHOR)
Publikováno v:
Entropy. Apr2024, Vol. 26 Issue 4, p320. 38p.
