112 citations · 320 across the 20 of their papers we have counts for
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stat.ML2017★ 10 cited
Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
Mathieu Sinn, Ambrish Rawat
Generative Adversarial Networks (GANs) have become a widely popular framework for generative modelling of high-dimensional datasets. However their training is well-known to be diff…
stat.ML2015★ 1 cited
Multi-task additive models with shared transfer functions based on dictionary learning
Alhussein Fawzi, Mathieu Sinn, Pascal Frossard
Additive models form a widely popular class of regression models which represent the relation between covariates and response variables as the sum of low-dimensional transfer funct…