166 citations · 205 across the 6 of their papers we have counts for
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cs.LG2018★ 6 cited
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir H. Khoshaman, Mohammad H. Amin
Boltzmann machines (BMs) are appealing candidates for powerful priors in variational autoencoders (VAEs), as they are capable of capturing nontrivial and multi-modal distributions…
quant-ph2018★ 166 cited
Quantum Variational Autoencoder
Amir Khoshaman, Walter Vinci, Brandon Denis +3
Variational autoencoders (VAEs) are powerful generative models with the salient ability to perform inference. Here, we introduce a quantum variational autoencoder (QVAE): a VAE who…