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.
BlazeObsidian t1_j8vl4hj wrote
Not sure if it matches your requirements but look into VQ-VAE which is basically a vector quantised VAE. https://ml.berkeley.edu/blog/posts/vq-vae/
Some more ideas are explored in more detail here: https://lilianweng.github.io/posts/2018-08-12-vae/