Saved in:
| Main Authors: | Kiruluta, Andrew, Lemos, Andreas, Burity, Priscilla |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21189 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
Quantum Spectral Reasoning: A Non-Neural Architecture for Interpretable Machine Learning
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Wavelet Logic Machines: Learning and Reasoning in the Spectral Domain Without Neural Networks
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
by: Kiruluta, Andrew, et al.
Published: (2024)
by: Kiruluta, Andrew, et al.
Published: (2024)
Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
Beyond Self Attention: A Subquadratic Fourier Wavelet Transformer with Multi Modal Fusion
by: Kiruluta, Andrew, et al.
Published: (2021)
by: Kiruluta, Andrew, et al.
Published: (2021)
Spectral Generative Flow Models: A Physics-Inspired Replacement for Vectorized Large Language Models
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
From Gradients to Riccati Geometry: Kalman World Models for Single-Pass Learning
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention
by: Kiruluta, Andrew
Published: (2026)
by: Kiruluta, Andrew
Published: (2026)
A Fully Spectral Neuro-Symbolic Reasoning Architecture with Graph Signal Processing as the Computational Backbone
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Reducing Deep Network Complexity via Sparse Hierarchical Fourier Interaction Networks
by: Kiruluta, Andrew, et al.
Published: (2017)
by: Kiruluta, Andrew, et al.
Published: (2017)
Learning Operators with Stochastic Gradient Descent in General Hilbert Spaces
by: Shi, Lei, et al.
Published: (2024)
by: Shi, Lei, et al.
Published: (2024)
Spectral Dictionary Learning for Generative Image Modeling
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical Inference
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
Machine Learning-Based Graph Simplification for Symbolic Accelerators
by: Yu, Tiffany, et al.
Published: (2026)
by: Yu, Tiffany, et al.
Published: (2026)
Schrodinger AI: A Unified Spectral-Dynamical Framework for Classification, Reasoning, and Operator-Based Generalization
by: Nguyen, Truong Son
Published: (2025)
by: Nguyen, Truong Son
Published: (2025)
Hilbert Neural Operator: Operator Learning in the Analytic Signal Domain
by: Pordanesh, Saman, et al.
Published: (2025)
by: Pordanesh, Saman, et al.
Published: (2025)
From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models
by: Kiruluta, Andrew
Published: (2025)
by: Kiruluta, Andrew
Published: (2025)
A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
by: Gupta, Nitin, et al.
Published: (2025)
by: Gupta, Nitin, et al.
Published: (2025)
Hierarchical Attention Diffusion Networks with Object Priors for Video Change Detection
by: Kiruluta, Andrew, et al.
Published: (2024)
by: Kiruluta, Andrew, et al.
Published: (2024)
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
by: Mirzaei, Erfan, et al.
Published: (2025)
by: Mirzaei, Erfan, et al.
Published: (2025)
Symbol-Equivariant Recurrent Reasoning Models
by: Freinschlag, Richard, et al.
Published: (2026)
by: Freinschlag, Richard, et al.
Published: (2026)
Function Spaces Without Kernels: Learning Compact Hilbert Space Representations
by: Low, Su Ann, et al.
Published: (2025)
by: Low, Su Ann, et al.
Published: (2025)
Variational (Energy-Based) Spectral Learning: A Machine Learning Framework for Solving Partial Differential Equations
by: Hammad, M. M.
Published: (2026)
by: Hammad, M. M.
Published: (2026)
Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines
by: Blakely, Christian D.
Published: (2025)
by: Blakely, Christian D.
Published: (2025)
Similar Items
-
From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning
by: Kiruluta, Andrew, et al.
Published: (2025) -
Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals
by: Kiruluta, Andrew, et al.
Published: (2025) -
Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment
by: Kiruluta, Andrew, et al.
Published: (2025) -
Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention
by: Kiruluta, Andrew, et al.
Published: (2025) -
Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons
by: Kiruluta, Andrew, et al.
Published: (2025)