15 citations · 25 across the 5 of their papers we have counts for
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cs.LG2019★ 9 cited
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
Shuyu Lin, Stephen Roberts, Niki Trigoni +1
A trade-off exists between reconstruction quality and the prior regularisation in the Evidence Lower Bound (ELBO) loss that Variational Autoencoder (VAE) models use for learning. T…
cs.LG2019
WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding
Shuyu Lin, Ronald Clark, Robert Birke +2
Variational Auto-encoders (VAEs) have been very successful as methods for forming compressed latent representations of complex, often high-dimensional, data. In this paper, we deri…