Experiments
In this section, I publish my experiments. Experiment topics include artificial neural networks, dynamical systems, bio-hacking with BCI, robotics, astrophotography, and more. Some of my experiments made it to published research papers, while others wait to be discovered. The Blog section might be for you if you want more digestible content.
How I use Generative AI for my experiments: mainly polishing my writing drafts. and for boilerplate code. Ideas and math are mine; storytelling often by GenAI.
Expect a new entry every second week.
Noise as a Feature: From Biological Morphogenesis to Neural Network Robustness
Noise is often perceived as an unwanted disturbance, a bug to be eliminated from engineered systems. However, mounting evidence from biological systems suggests that noise serves essential functional roles, acting as a feature that enhances robustness, flexibility, and adaptive capabilities.
Adaptive PID Controller
Proportional-Integral-Derivative (PID) controllers are foundational in industrial automation but exhibit limitations when faced with non-linear or time-varying system dynamics due to their fixed gain parameters. This experiment outlines a conceptual framework for an adaptive PID control system.
Enforcing Symbolic Constraints in Graph Transformers via Low-Rank Logic Adapters
This post introduces Symbolic Masked Graph Transformers (SM-GT), an architectural approach designed to integrate hard, type-based exclusion rules directly into the GT attention mechanism, ensuring provable compliance.
