regime-classification

Telemetry-based taxonomy of how LLMs strain, drift, and hallucinate — measured from layer activations, attention, KV cache, and MoE routing.

Quant research pipeline for XAUUSD regime classification using macroeconomic features, Random Forest, Temporal Convolutional Networks (TCN), walk-forward validation, and trading-system backtesting.

Interactive decision tree for classifying objects into Structural Explainability identity and persistence regimes.

Using multiple time series observations, split time into regimes using an array of representation learning techniques with explainability and robustness techniques for the transitions