iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning
Remarkable progress has been made within nonlinear Independent Component Analysis (ICA) and identifiable deep latent variable models. Formally, the latest nonlinear ICA theory enables us to recover the true latent variables up to a linear transformation by leveraging unsupervised deep learning. This...
Furkejuvvon:
| Váldodahkkit: | , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
IEEE
2022-01-01
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| Ráidu: | IEEE Access |
| Fáttát: | |
| Liŋkkat: | https://ieeexplore.ieee.org/document/9766338/ |
| Fáddágilkorat: |
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