How does variational inference improve Generative AI for anomaly detection

Question

With the help of code and examples can you tell me How does variational inference improve Generative AI for anomaly detection?

Answer 1

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.