:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yang, Fokoue, Ernest, Lange, Richard, Krutz, Daniel
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.15240
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding
by: Takhanov, Rustem, et al.
Published: (2026)

Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity
by: Fokoué, Ernest
Published: (2026)

Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations
by: Fokoué, Ernest
Published: (2026)

Fibonacci-Driven Recursive Ensembles: Algorithms, Convergence, and Learning Dynamics
by: Fokoué, Ernest
Published: (2026)

Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
by: Fokoué, Ernest
Published: (2026)

On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio
by: Fokoué, Ernest
Published: (2025)

A General Weighting Theory for Ensemble Learning: Beyond Variance Reduction via Spectral and Geometric Structure
by: Fokoué, Ernest
Published: (2025)

A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification
by: Essomba, Rose Yvette Bandolo, et al.
Published: (2026)

Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning
by: Fokoué, Ernest, et al.
Published: (2026)

Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part II-On the Strength of Weak Learnability and the Boosting Paradigm
by: Fokoué, Ernest, et al.
Published: (2026)

Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC
by: Srbinovska, Angela, et al.
Published: (2026)

Investigating Quantum Circuit Designs Using Neuro-Evolution
by: Kar, Devroop, et al.
Published: (2026)

Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence
by: Fokoué, Ernest, et al.
Published: (2026)

Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data
by: Cranston, Collin, et al.
Published: (2026)

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
by: Fokoué, Ernest
Published: (2025)

Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
by: Jayaraman, Srideepika, et al.
Published: (2026)

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
by: Chen, Yingyi, et al.
Published: (2024)

EigenHearts: Cardiac Diseases Classification Using EigenFaces Approach
by: Groun, Nourelhouda, et al.
Published: (2024)

EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems
by: Chen, Jianhong, et al.
Published: (2025)

GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation
by: Szachara, Steven, et al.
Published: (2026)

Querying Kernel Methods Suffices for Reconstructing their Training Data
by: Barzilai, Daniel, et al.
Published: (2025)

Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
by: Kar, Devroop, et al.
Published: (2025)

EVAL: EigenVector-based Average-reward Learning
by: Adamczyk, Jacob, et al.
Published: (2025)

Augmenting Intelligence: The Convergence of ML/LLMs and Statistics
by: Joaquin Carbonara, et al.
Published: (2025)

EigenVI: score-based variational inference with orthogonal function expansions
by: Cai, Diana, et al.
Published: (2024)

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
by: Cheng, Anzhe, et al.
Published: (2025)

Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
by: Cheng, Xiuyuan, et al.
Published: (2021)

Quantum EigenGame for excited state calculation
by: Quiroga, David, et al.
Published: (2025)

End-to-end Kernel Learning via Generative Random Fourier Features
by: Fang, Kun, et al.
Published: (2020)

Generalization in Kernel Regression Under Realistic Assumptions
by: Barzilai, Daniel, et al.
Published: (2023)

EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs
by: Ettori, Davide, et al.
Published: (2025)

A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
by: Song, Yue
Published: (2026)

Representing Flow Fields with Divergence-Free Kernels for Reconstruction
by: Ni, Xingyu, et al.
Published: (2025)

Near-optimal Active Reconstruction
by: Yang, Daniel
Published: (2025)

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
by: Saxena, Utkarsh, et al.
Published: (2024)

Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
by: Choi, Youngjun, et al.
Published: (2025)

AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
by: Younesian, Sharareh, et al.
Published: (2026)

EigenBench: A Comparative Behavioral Measure of Value Alignment
by: Chang, Jonathn, et al.
Published: (2025)

CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
by: Ma, Xing, et al.
Published: (2026)

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search
by: Zhang, Yifan, et al.
Published: (2025)