120 citations · 167 across the 7 of their papers we have counts for
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cs.LG2019★ 1 cited
Stochastic Feedforward Neural Networks: Universal Approximation
Thomas Merkh, Guido Montúfar
In this chapter we take a look at the universal approximation question for stochastic feedforward neural networks. In contrast to deterministic networks, which represent mappings f…
cs.IT2019
Factorized Mutual Information Maximization
Thomas Merkh, Guido Montúfar
We investigate the sets of joint probability distributions that maximize the average multi-information over a collection of margins. These functionals serve as proxies for maximizi…