Anomaly Detection in Deep Nets

Anomaly Detection in Deep Nets

Hypnotic Reservoir Sampling: Detecting Anomalies via Latent Memory Drift

In high-velocity streaming systems, traditional anomaly detection often fails because it discards historical context. Hypnotic Reservoir Sampling (HRS...

Anomaly Detection in Deep Nets

The Implicit Geometry of Failure: Using Manifold Hypnosis to Expose Out-of-Distribution Activations

The Hidden Geometry of Model FailureEvery neural network, no matter how well-trained, harbors a secret geometry. Activations don't just float in high-...

Anomaly Detection in Deep Nets

Hypnotic Attractors: Detecting Anomalous Representations in Deep Network Latent Spaces

Deep networks learn rich internal representations, but not all latent states are equally meaningful. Some regions act like gravitational wells—hypnoti...