6 citations · 13 across the 4 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2019★ 4 cited
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
Zhe Dong, Bryan A. Seybold, Kevin P. Murphy +1
We propose an efficient inference method for switching nonlinear dynamical systems. The key idea is to learn an inference network which can be used as a proposal distribution for t…
cs.LG2019★ 3 cited
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Bryan Seybold, Emily Fertig, Alex Alemi +1
Variational autoencoders learn unsupervised data representations, but these models frequently converge to minima that fail to preserve meaningful semantic information. For example,…