Imagen de Portada

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hy, Truong Son, Khang, Thieu, Kondor, Risi
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Automated Metaheuristic Algorithm Design with Autoregressive Learning
por: Zhao, Qi, et al.
Publicado: (2024)

Evolutionary Dynamic Optimization and Machine Learning
por: Boulesnane, Abdennour
Publicado: (2023)

A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions
por: Naser, M. Z., et al.
Publicado: (2024)

Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
por: Jaiswal, Risi, et al.
Publicado: (2025)

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

Evolutionary Multitasking AUC Optimization
por: Wang, Chao, et al.
Publicado: (2022)

Automated Design of Metaheuristic Algorithms: A Survey
por: Zhao, Qi, et al.
Publicado: (2023)

Indian Wedding System Optimization (IWSO): A Novel Socially Inspired Metaheuristic with Operational Design and Analysis
por: Saxena, Deepika, et al.
Publicado: (2026)

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

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

Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
por: Zhang, Bo, et al.
Publicado: (2024)

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

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

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

Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks
por: Lu, Binghang, et al.
Publicado: (2025)

Posterior Distribution-assisted Evolutionary Dynamic Optimization as an Online Calibrator for Complex Social Simulations
por: Yang, Peng, et al.
Publicado: (2026)

Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
por: Neumann, Aneta, et al.
Publicado: (2020)

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

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

Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across Disciplines
por: Cui, Elvis Han, et al.
Publicado: (2023)

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix
por: Sen, Mrinmay, et al.
Publicado: (2024)

Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment
por: Arauzo-Azofra, Antonio, et al.
Publicado: (2025)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
por: Gupta, Avisek, et al.
Publicado: (2018)

Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development
por: Mousavirad, Seyed Jalaleddin, et al.
Publicado: (2023)

Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation
por: N, Siddartha Reddy, et al.
Publicado: (2024)

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

Matrix Domination: Convergence of a Genetic Algorithm Metaheuristic with the Wisdom of Crowds to Solve the NP-Complete Problem
por: Strachan, Shane Storm
Publicado: (2023)

Diffusion Models are Evolutionary Algorithms
por: Zhang, Yanbo, et al.
Publicado: (2024)

Learning Where, What and How to Transfer: A Multi-Role Reinforcement Learning Approach for Evolutionary Multitasking
por: Zhan, Jiajun, et al.
Publicado: (2025)

Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization
por: Zhang, Xian-Rong, et al.
Publicado: (2025)

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
por: Li, Wenhu, et al.
Publicado: (2025)

Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning
por: Kim, Dae-Won, et al.
Publicado: (2024)

Ant Colony Sampling with GFlowNets for Combinatorial Optimization
por: Kim, Minsu, et al.
Publicado: (2024)

eVAE: Evolutionary Variational Autoencoder
por: Wu, Zhangkai, et al.
Publicado: (2023)

When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry
por: Korte, Kathrin, et al.
Publicado: (2026)

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

Analysis and Explainability of LLMs Via Evolutionary Methods
por: Gallagher, Shannon K., et al.
Publicado: (2026)

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

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

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