From Quasicrystals to Machine Learning: Penrose‑Entropy‑Driven Random Forests and High‑Velocity…“When mathematics meets cryptography and machine learning, the real magic happens in the entropy.”5d ago5d ago
Securing, Compressing & Deploying Neural Weights: From Sine‑Phase Functional Generation to…TL;DR — I present a single PyTorch layer that:Apr 20Apr 20
From Predictive Coding to Energy‑Based Sequence Learning: Building a Hyper‑Dimensional State‑Space…ForewordApr 18Apr 18
Equilibria in High Dimensions: A Deep Dive into Hypervector Bundle Theory for Game AnalysisIntroductionApr 15Apr 15
Combined Positional Encoding: Integrating Graph Laplacian Eigenvectors, Geometric Algebra Rotation…ForewordApr 13Apr 13
Neuro-Symbolic Gaussian Approximators, Bayesian Hypernetworks and Topological Gaussian-like…ForewordApr 12Apr 12
Unifying Neural ODEs, Modern Hopfield Networks, and Hyperdimensional Computing for MNIST…IntroductionApr 7Apr 7
Neuro-Symbolic A* Search with Hyperdimensional Representations and Neural Heuristics1. IntroductionApr 51Apr 51
Hybrid Optimization in Logistic Regression: A Deep Dive into Accelerated Convergence Using…ForewordApr 1Apr 1
A Sheaf-Theoretic, Incidence-Algebraic and Hyperdimensional GCN Approach to Iris ClassificationIntroductionMar 31Mar 31
