How does variational inference improve Generative AI for anomaly detection

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With the help of code and examples can you tell me How does variational inference improve Generative AI for anomaly detection?
Feb 12 in Generative AI by Ashutosh
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Variational inference improves Generative AI for anomaly detection by approximating complex probability distributions efficiently.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

  • Latent Space Learning: Captures normal patterns, making anomalies easier to detect.
  • Efficient Approximation: Handles high-dimensional probability distributions effectively.
  • Uncertainty Quantification: Provides confidence scores for anomaly detection.
  • Generative Capability: Can synthesize realistic data for model validation.
Hence, by referring to above, you can improve Generative AI for anomaly detection.
answered Feb 12 by punnu teja

edited Mar 6

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