:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gallagher, Shannon K., Rallapalli, Swati, Brooks, Tyler, Loughin, Chuck, Sezgin, Michele, Yurko, Ronald
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing Machine Learning
Online Access:	https://arxiv.org/abs/2605.02930
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Stylistic Variation in Human and LLM Writing Across Genres, Models, and Decoding Strategies
by: Rallapalli, Swati, et al.
Published: (2026)

RUMC: A Rule-based Classifier Inspired by Evolutionary Methods
by: Mokhtari, Melvin
Published: (2024)

Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
by: Rovito, Luigi, et al.
Published: (2025)

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
by: Hao, Hao, et al.
Published: (2024)

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems
by: Zhou, Ryan, et al.
Published: (2024)

Evolutionary Policy Optimization
by: Mustafaoglu, Zelal Su "Lain", et al.
Published: (2025)

Evolutionary Multitasking AUC Optimization
by: Wang, Chao, et al.
Published: (2022)

Diffusion Models are Evolutionary Algorithms
by: Zhang, Yanbo, et al.
Published: (2024)

Evolutionary Dynamic Optimization and Machine Learning
by: Boulesnane, Abdennour
Published: (2023)

eVAE: Evolutionary Variational Autoencoder
by: Wu, Zhangkai, et al.
Published: (2023)

Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding
by: Katende, Ronald
Published: (2024)

Evolutionary Context Search for Automated Skill Acquisition
by: Sun, Qi, et al.
Published: (2026)

Natural Evolutionary Search meets Probabilistic Numerics
by: Osselin, Pierre, et al.
Published: (2025)

Deep Learning-Based Operators for Evolutionary Algorithms
by: Shem-Tov, Eliad, et al.
Published: (2024)

Experience-Based Evolutionary Algorithms for Expensive Optimization
by: Yu, Xunzhao, et al.
Published: (2023)

Integrating Functionalities To A System Via Autoencoder Hippocampus Network
by: Luo, Siwei
Published: (2024)

Generalized Early Stopping in Evolutionary Direct Policy Search
by: Arza, Etor, et al.
Published: (2023)

Code World Models for Parameter Control in Evolutionary Algorithms
by: Sartori, Camilo Chacón, et al.
Published: (2026)

Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
by: Kubalík, Jiří, et al.
Published: (2025)

Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
by: Zhang, Hengzhe, et al.
Published: (2024)

Genetic Programming for Explainable Manifold Learning
by: Cravens, Ben, et al.
Published: (2024)

Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control
by: Maus, Tom, et al.
Published: (2026)

Exploring the Improvement of Evolutionary Computation via Large Language Models
by: Cai, Jinyu, et al.
Published: (2024)

A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation
by: Doyle-Finch, Gabriel, et al.
Published: (2025)

A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
by: Holliday, Andrew, et al.
Published: (2024)

Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
by: Hu, Qinglong, et al.
Published: (2025)

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)

Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
by: Deng, Ou, et al.
Published: (2024)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
by: Wang, Kexin, et al.
Published: (2024)

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
by: Echevarrieta, Judith, et al.
Published: (2023)

Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
by: Booysen, Reinhard, et al.
Published: (2024)

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
by: Hy, Truong Son, et al.
Published: (2024)

Cooperative Coevolution versus Monolithic Evolutionary Search for Semi-Supervised Tabular Classification
by: Toutouh, Jamal
Published: (2026)

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
by: Guo, Hongshu, et al.
Published: (2024)

Leveraging Evolutionary Surrogate-Assisted Prescription in Multi-Objective Chlorination Control Systems
by: Monsia, Rivaaj, et al.
Published: (2025)

Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
by: Vinhas, Adriano, et al.
Published: (2025)

Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs
by: Ruddick, Julian, et al.
Published: (2022)

Kolmogorov-Arnold Networks and Evolutionary Game Theory for More Personalized Cancer Treatment
by: Azimi, Sepinoud, et al.
Published: (2025)

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
by: Bouzidi, Halima, et al.
Published: (2024)

LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
by: Abhyankar, Nikhil, et al.
Published: (2025)