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)

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)

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)