Predictive head movement tracking using a Kalman filter. - Andrew Kiruluta; Moshe Eizenman; Subbarayan Pasupathy (IEEE Trans. Syst. Man Cybern. Part B, 1997)

New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model. - Andrew Kiruluta; Andreas Lemos; Eric Lundy (CoRR, 2021)

Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique. - Andrew Kiruluta; Andreas Lemos (CoRR, 2024)

Novel Change Detection Framework in Remote Sensing Imagery Using Diffusion Models and Structural Similarity Index (SSIM). - Andrew Kiruluta; Eric Lundy; Andreas Lemos (CoRR, 2024)

A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation. - Andrew Kiruluta; Eric Lundy; Andreas Lemos (CoRR, 2025)

State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling. - Andrew Kiruluta; Andreas Lemos (CoRR, 2025)

A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models. - Andrew Kiruluta; Andreas Lemos (CoRR, 2025)

Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention. - Andrew Kiruluta; Priscilla Burity; Samantha Williams (CoRR, 2025)

Wavelet-based Variational Autoencoders for High-Resolution Image Generation. - Andrew Kiruluta (CoRR, 2025)

Spectral Dictionary Learning for Generative Image Modeling. - Andrew Kiruluta (CoRR, 2025)

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models. - Andrew Kiruluta (CoRR, 2025)

Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition. - Andrew Kiruluta; Eric Lundy; Priscilla Burity (CoRR, 2025)

Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons. - Andrew Kiruluta; Preethi Raju; Priscilla Burity (CoRR, 2025)

History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention. - Andrew Kiruluta (CoRR, 2025)

From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs. - Andrew Kiruluta; Priscilla Burity (CoRR, 2025)

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning. - Andrew Kiruluta; Preethi Raju; Priscilla Burity (CoRR, 2025)

Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks. - Andrew Kiruluta (CoRR, 2025)

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

Quantum Spectral Reasoning: A Non-Neural Architecture for Interpretable Machine Learning. - Andrew Kiruluta (CoRR, 2025)

A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents. - Andrew Kiruluta (CoRR, 2025)