Andrew Kiruluta

According to our database1, Andrew Kiruluta authored at least 33 papers between 1997 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery.
CoRR, May, 2026

Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models.
CoRR, April, 2026

From Gradients to Riccati Geometry: Kalman World Models for Single-Pass Learning.
CoRR, March, 2026

Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention.
CoRR, March, 2026

Spectral Generative Flow Models: A Physics-Inspired Replacement for Vectorized Large Language Models.
CoRR, January, 2026

Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs.
CoRR, January, 2026

2025
Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical Inference.
CoRR, December, 2025

Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment.
CoRR, November, 2025

From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning.
CoRR, September, 2025

A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone.
CoRR, August, 2025

A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents.
CoRR, August, 2025

Quantum Spectral Reasoning: A Non-Neural Architecture for Interpretable Machine Learning.
CoRR, August, 2025

Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals.
CoRR, July, 2025

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning.
CoRR, July, 2025

Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks.
CoRR, July, 2025

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning.
CoRR, July, 2025

From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs.
CoRR, June, 2025

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

History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM.
CoRR, June, 2025

Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons.
CoRR, June, 2025

Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition.
CoRR, May, 2025

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models.
CoRR, May, 2025

Spectral Dictionary Learning for Generative Image Modeling.
CoRR, April, 2025

Wavelet-based Variational Autoencoders for High-Resolution Image Generation.
CoRR, April, 2025

Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention.
CoRR, April, 2025

A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models.
CoRR, April, 2025

State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling.
CoRR, March, 2025

FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation.
CoRR, March, 2025

A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals.
CoRR, February, 2025

2024
Novel Change Detection Framework in Remote Sensing Imagery Using Diffusion Models and Structural Similarity Index (SSIM).
CoRR, 2024

Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique.
CoRR, 2024

2021
New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model.
CoRR, 2021

1997
Predictive head movement tracking using a Kalman filter.
IEEE Trans. Syst. Man Cybern. Part B, 1997


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