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20182020
most citedHigh-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model

6 citations · 6 across the 1 of their papers we have counts for

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Showing 2019Show all

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cs.LG2019

Improving Disentangled Representation Learning with the Beta Bernoulli Process

Prashnna Kumar Gyawali, Zhiyuan Li, Cameron Knight +4

To improve the ability of VAE to disentangle in the latent space, existing works mostly focus on enforcing independence among the learned latent factors. However, the ability of th…

eess.IV2019

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Jwala Dhamala, Sandesh Ghimire, John L. Sapp +2

Personalization of cardiac models involves the optimization of organ tissue properties that vary spatially over the non-Euclidean geometry model of the heart. To represent the high…