[R] Looking for papers which are modified variational autoencoder (VAE)

Submitted by Sandy_dude t3_114c7u6 in MachineLearning

Hi!

Searching for papers that have modfications in the encoder or decoder neural network of a VAE.

I'm working on a project which uses a variational auto encoder with modified decoder neural network. In brief, Its decoder is modified to introduce sparsity in a set of feature as a way of introducing domain knowledge.

Some such paper is below.

oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis

VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics

Please let me know of methods that are similar in nature.

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Cocaaah t1_j8vwcl7 wrote

This paper might also be relevant.

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Sandy_dude OP t1_j8w1ivq wrote

This is very appropriate. Thank you ! How did you know of this paper ?

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Cocaaah t1_j8wcnxg wrote

I've been following deep-learning based transcriptomics for a while as it's a tangential interest of mine. VAEs are popular there, and there is a trend to incorporate domain knowledge. These two additional papers [(1), (2)] might interest you.

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Sandy_dude OP t1_j8ylnxn wrote

Okay thank you. May I ask you a couple of questions if they arise ?

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