Unsupervised data imputation with multiple importance sampling variational autoencoders
Abstract Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. In this work, we further investigate the potential of Variational Autoencoders (VAEs)...
| Main Authors: | , , |
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| Format: | Article |
| Jezik: | English |
| Izdano: |
Nature Portfolio
2025-01-01
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| Serija: | Scientific Reports |
| Teme: | |
| Online dostop: | https://doi.org/10.1038/s41598-025-87641-0 |