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In your paper, it's said "the variational inference is designed in a bidirectional way based on bottom-up path and top-down path, while letting the inference network (left) and generative network (right) share their parameters as shown in Figure 1."
But in your code, I didn't find a place to share parameters. Can you tell me what I missed?
Thank you in advance.
The text was updated successfully, but these errors were encountered:
It means that NN modules belonging to the top-down path are used as a part of both the encoder (variational inference) and the decoder (generative network) of the BVAE.
In your paper, it's said "the variational inference is designed in a bidirectional way based on bottom-up path and top-down path, while letting the inference network (left) and generative network (right) share their parameters as shown in Figure 1."
But in your code, I didn't find a place to share parameters. Can you tell me what I missed?
Thank you in advance.
The text was updated successfully, but these errors were encountered: