34 citations · 35 across the 2 of their papers we have counts for
1 paper · 1 filter
Luca Falorsi, Pim de Haan, Tim R. Davidson +1
Reparameterizable densities are an important way to learn probability distributions in a deep learning setting. For many distributions it is possible to create low-variance gradien…