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Mohamed Ishmael Belghazi

Alumni

Publications

Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
Aristide Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
R Devon Hjelm
Aaron Courville
We argue that the estimation of mutual information between high dimensional continuous random variables can be achieved by gradient descent … (voir plus)over neural networks. We present a Mutual Information Neural Estimator (MINE) that is linearly scalable in dimensionality as well as in sample size, trainable through back-prop, and strongly consistent. We present a handful of applications on which MINE can be used to minimize or maximize mutual information. We apply MINE to improve adversarially trained generative models. We also use MINE to implement Information Bottleneck, applying it to supervised classification; our results demonstrate substantial improvement in flexibility and performance in these settings.
2018-07-02
Proceedings of the 35th International Conference on Machine Learning (publié)
doi.org
proceedings.mlr.press