1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Semi-supervised NMF Models for Topic Modeling in Learning Tasks
Jamie Haddock, Lara Kassab, Sixian Li +9
We propose several new models for semi-supervised nonnegative matrix factorization (SSNMF) and provide motivation for SSNMF models as maximum likelihood estimators given specific d…
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…