Automatic parametric modeling with symbolic regression
Pseudo-labeling for tabular data
Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation
Modular safety-first control architecture for a human-in-the-loop active elbow orthosis with EMG, IMU, simulation, and bounded ML. Researching how assistive robotic systems should determine appropriate assistance under uncertain sensing conditions.
Uncertainly Engine - AI framework for uncertainty estimation, confidence scoring, hallucination detection, and reliable LLM outputs.
This repository introduces an adaptive formula inspired by the CHSH logic, designed to evaluate, test, and improve model performance across multiple conditions. By adapting CHSH principles into a flexible structure, it provides a systematic way to analyze results, ensure reliability, and explore deeper insights in experimentation.
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