Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.

Data-driven Battery Model Identification in LPV Framework using Python

Model Parameter Identification via a Hyperparameter Optimization Scheme (MI-HPO)

Finder for the LMArena anonymous model codenamed "riftrunner" (community‑dubbed Gemini 3.0 Pro RC), using automated prompts and fingerprinting on lmarena.ai.

Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.

🔍 Detect anonymous LLM models with this Python tool, designed to automate the identification of the "riftrunner" model on lmarena.ai.