16 citations · 21 across the 4 of their papers we have counts for
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cs.LG2020
Analytical Probability Distributions and EM-Learning for Deep Generative Networks
Randall Balestriero, Sebastien Paris, Richard G. Baraniuk
Deep Generative Networks (DGNs) with probabilistic modeling of their output and latent space are currently trained via Variational Autoencoders (VAEs). In the absence of a known an…
cs.LG2013
Physeter catodon localization by sparse coding
Sébastien Paris, Yann Doh, Hervé Glotin +2
This paper presents a spermwhale' localization architecture using jointly a bag-of-features (BoF) approach and machine learning framework. BoF methods are known, especially in comp…