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AI & ML interests
datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.
Recent Activity
Organizations
view article Ryan Spearman: Geometric Variant Effect Prediction Through Quaternion-Composed Dual Expert Alignment
view article Fused Batched Thin SVD: Engineering a 5000× Speedup with Triton Kernels
view article A geometric encoder's toolkit: deterministic primitives for hyperspherical image encoding
view article Constellation Relay, Geometric Bottleneck, and the Re-Emergence of the Potential 0.29154 Binding Constant
view article Procrustes ViT Shared Manifold Alignment Experimentation
view article Geometric Memory III: Resonant Optimization, Consensus Distillation, and Evolutionary Training Paradigms
view article Geometric Memory II: Sequence Reconstruction, Diffusion Integration, and the Numerical Topology of Alignment
view article Geometric Memory: Context Extension and Cross-Model Alignment Through Pentachoron Regularization
view article Geometric Fusion: Cross-Modal Alignment Through Shared Pentachoron Geometry
view article QWEN 3.5 Residual Thinking Embeddings: How Language Models Transform Text Through Deliberative Generation
published an article about 1 month ago view article The Slop Code Problem: A Field Guide to Working With Your LLM Coding Companion
published an article about 1 month ago view article Geometric Structural Vocabulary: Scaling Deterministic Mathematics Into Universal Model Conditioning
published an article about 1 month ago view article Reading the Geometry of Learned Representations: How Synthetic Primitives Became a Rosetta Stone for VAE Latent Spaces
published an article about 2 months ago view article KSimplex Geometric Prior for Stable Diffusion: Complete Mathematical Reference
view article Geometric Manifold Walking: Stable High-Accuracy Multi-Encoder Fusion Without Backbone Training
view article Moving foward with fixated vocabularies aimed at general, symbolic, and medical.