Andrew Kiruluta

According to our database, Andrew Kiruluta authored at least 23 papers between 1997 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents.

Andrew Kiruluta

CoRR, August, 2025

Quantum Spectral Reasoning: A Non-Neural Architecture for Interpretable Machine Learning.

Andrew Kiruluta

CoRR, August, 2025

Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals.

Andrew Kiruluta, Andreas Lemos, Priscilla Burity

CoRR, July, 2025

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning.

Andrew Kiruluta, Andreas Lemos, Priscilla Burity

CoRR, July, 2025

Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks.

Andrew Kiruluta

CoRR, July, 2025

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning.

Andrew Kiruluta, Preethi Raju, Priscilla Burity

CoRR, July, 2025

From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs.

Andrew Kiruluta, Priscilla Burity

CoRR, June, 2025

Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention.

Andrew Kiruluta

CoRR, June, 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, June, 2025

Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons.

Andrew Kiruluta, Preethi Raju, Priscilla Burity

CoRR, June, 2025

Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition.

Andrew Kiruluta, Eric Lundy, Priscilla Burity

CoRR, May, 2025

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models.

Andrew Kiruluta

CoRR, May, 2025

Spectral Dictionary Learning for Generative Image Modeling.

Andrew Kiruluta

CoRR, April, 2025

Wavelet-based Variational Autoencoders for High-Resolution Image Generation.

Andrew Kiruluta

CoRR, April, 2025

Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention.

Andrew Kiruluta, Priscilla Burity, Samantha Williams

CoRR, April, 2025

A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models.

Andrew Kiruluta, Andreas Lemos

CoRR, April, 2025

State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling.

Andrew Kiruluta, Andreas Lemos

CoRR, March, 2025

FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation.

Andrew Kiruluta, Eric Lundy, Andreas Lemos

CoRR, March, 2025

A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals.

Andrew Kiruluta, Andreas Lemos, Priscilla Burity

CoRR, February, 2025

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

Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique.

Andrew Kiruluta, Andreas Lemos

CoRR, 2024

2021

New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model.

Andrew Kiruluta, Andreas Lemos, Eric Lundy

CoRR, 2021

1997

Predictive head movement tracking using a Kalman filter.

Andrew Kiruluta, Moshe Eizenman, Subbarayan Pasupathy

IEEE Trans. Syst. Man Cybern. Part B, 1997