Search Results for author: Jhoan Keider Hoyos Osorio

Found 2 papers, 2 papers with code

DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

1 code implementation19 Jan 2023 Oscar Skean, Jhoan Keider Hoyos Osorio, Austin J. Brockmeier, Luis Gonzalo Sanchez Giraldo

We introduce an information-theoretic quantity with similar properties to mutual information that can be estimated from data without making explicit assumptions on the underlying distribution.

Disentanglement Mutual Information Estimation

The Representation Jensen-Rényi Divergence

1 code implementation2 Dec 2021 Jhoan Keider Hoyos Osorio, Oscar Skean, Austin J. Brockmeier, Luis Gonzalo Sanchez Giraldo

We introduce a divergence measure between data distributions based on operators in reproducing kernel Hilbert spaces defined by kernels.

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