Wasserstein normalized autoencoder for anomaly detection
A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between the learned probability distribution—a Boltzmann distribution where the energy is the reconstruction error of the autoen...
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| Autor Principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IOP Publishing
2026-01-01
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| Series: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1088/2632-2153/ae6168 |
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