Andrew Kiruluta

31 papers Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention. CoRR Andrew Kiruluta
2026	J	`jnl`	Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs. CoRR Andrew Kiruluta
2026	J	`jnl`	From Gradients to Riccati Geometry: Kalman World Models for Single-Pass Learning. CoRR Andrew Kiruluta
2026	J	`jnl`	Spectral Generative Flow Models: A Physics-Inspired Replacement for Vectorized Large Language Models. CoRR Andrew Kiruluta
2025	J	`jnl`	A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone. CoRR Andrew Kiruluta
2025	J	`jnl`	A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models. CoRR Andrew Kiruluta, Andreas Lemos
2025	J	`jnl`	A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents. CoRR Andrew Kiruluta
2025	J	`jnl`	A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals. CoRR Andrew Kiruluta, Andreas Lemos, Priscilla Burity
2025	J	`jnl`	Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention. CoRR Andrew Kiruluta
2025	J	`jnl`	Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals. CoRR Andrew Kiruluta, Andreas Lemos, Priscilla Burity
2025	J	`jnl`	Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons. CoRR Andrew Kiruluta, Preethi Raju, Priscilla Burity
2025	J	`jnl`	CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning. CoRR Andrew Kiruluta, Preethi Raju, Priscilla Burity
2025	J	`jnl`	FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation. CoRR Andrew Kiruluta, Eric Lundy, Andreas Lemos
2025	J	`jnl`	From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models. CoRR Andrew Kiruluta
2025	J	`jnl`	From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning. CoRR Andrew Kiruluta, Priscilla Burity
2025	J	`jnl`	From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs. CoRR Andrew Kiruluta, Priscilla Burity
2025	J	`jnl`	Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition. CoRR Andrew Kiruluta, Eric Lundy, Priscilla Burity
2025	J	`jnl`	History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM. CoRR Andrew Kiruluta, Andreas Lemos, Priscilla Burity
2025	J	`jnl`	Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention. CoRR Andrew Kiruluta, Priscilla Burity, Samantha Williams
2025	J	`jnl`	Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning. CoRR Andrew Kiruluta, Andreas Lemos, Priscilla Burity
2025	J	`jnl`	Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical Inference. CoRR Andrew Kiruluta
2025	J	`jnl`	Quantum Spectral Reasoning: A Non-Neural Architecture for Interpretable Machine Learning. CoRR Andrew Kiruluta
2025	J	`jnl`	Spectral Dictionary Learning for Generative Image Modeling. CoRR Andrew Kiruluta
2025	J	`jnl`	Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment. CoRR Andrew Kiruluta, Priscilla Burity
2025	J	`jnl`	State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling. CoRR Andrew Kiruluta, Andreas Lemos
2025	J	`jnl`	Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks. CoRR Andrew Kiruluta
2025	J	`jnl`	Wavelet-based Variational Autoencoders for High-Resolution Image Generation. CoRR Andrew Kiruluta
2024	J	`jnl`	Novel Change Detection Framework in Remote Sensing Imagery Using Diffusion Models and Structural Similarity Index (SSIM). CoRR Andrew Kiruluta, Eric Lundy, Andreas Lemos
2024	J	`jnl`	Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique. CoRR Andrew Kiruluta, Andreas Lemos
2021	J	`jnl`	New Approaches to Long Document Summarization: Fourier Transform Based Attention in a Transformer Model. CoRR Andrew Kiruluta, Andreas Lemos, Eric Lundy
1997	J	`jnl`	Predictive head movement tracking using a Kalman filter. IEEE Trans. Syst. Man Cybern. Part B Andrew Kiruluta, Moshe Eizenman, Subbarayan Pasupathy