Genetic Programming for Explainable Manifold Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Cravens, Ben, Lensen, Andrew, Maddigan, Paula, Xue, Bing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explaining Genetic Programming Trees using Large Language Models
by: Maddigan, Paula, et al.
Published: (2024)
by: Maddigan, Paula, et al.
Published: (2024)
EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
by: Yang, Xuanhao, et al.
Published: (2026)
by: Yang, Xuanhao, et al.
Published: (2026)
Learning Semantics-aware Search Operators for Genetic Programming
by: Wyrwiński, Piotr, et al.
Published: (2025)
by: Wyrwiński, Piotr, et al.
Published: (2025)
Sharpness-Aware Minimization in Genetic Programming
by: Bakurov, Illya, et al.
Published: (2024)
by: Bakurov, Illya, et al.
Published: (2024)
On the Generalization Bounds of Symbolic Regression with Genetic Programming
by: Nomura, Masahiro, et al.
Published: (2026)
by: Nomura, Masahiro, et al.
Published: (2026)
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
by: Raymond, Christian, et al.
Published: (2022)
by: Raymond, Christian, et al.
Published: (2022)
Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems
by: Liu, Saining, et al.
Published: (2025)
by: Liu, Saining, et al.
Published: (2025)
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming
by: Kalkreuth, Roman, et al.
Published: (2024)
by: Kalkreuth, Roman, et al.
Published: (2024)
Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design
by: Galeta, Ondrej, et al.
Published: (2026)
by: Galeta, Ondrej, et al.
Published: (2026)
Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems
by: Anthes, Philipp, et al.
Published: (2025)
by: Anthes, Philipp, et al.
Published: (2025)
Discovering Continuous-Time Memory-Based Symbolic Policies using Genetic Programming
by: de Vries, Sigur, et al.
Published: (2024)
by: de Vries, Sigur, et al.
Published: (2024)
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
by: Raymond, Christian, et al.
Published: (2024)
by: Raymond, Christian, et al.
Published: (2024)
Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
by: Kronberger, Gabriel, et al.
Published: (2026)
by: Kronberger, Gabriel, et al.
Published: (2026)
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
by: Hy, Truong Son, et al.
Published: (2024)
by: Hy, Truong Son, et al.
Published: (2024)
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
by: Long, Quan, et al.
Published: (2025)
by: Long, Quan, et al.
Published: (2025)
Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
by: Saketos, Vasileios, et al.
Published: (2025)
by: Saketos, Vasileios, et al.
Published: (2025)
Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction
by: Ghasemi, Zahra, et al.
Published: (2023)
by: Ghasemi, Zahra, et al.
Published: (2023)
A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
by: Gupta, Nitin, et al.
Published: (2025)
by: Gupta, Nitin, et al.
Published: (2025)
Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
by: Gu, Shengda, et al.
Published: (2025)
by: Gu, Shengda, et al.
Published: (2025)
Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)
by: Eberhardinger, Manuel, et al.
Published: (2024)
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression
by: Zhang, Hengzhe, et al.
Published: (2024)
by: Zhang, Hengzhe, et al.
Published: (2024)
Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization
by: Zhang, Hengzhe, et al.
Published: (2026)
by: Zhang, Hengzhe, et al.
Published: (2026)
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
by: Wang, Sixuan, et al.
Published: (2025)
by: Wang, Sixuan, et al.
Published: (2025)
Analysis and Explainability of LLMs Via Evolutionary Methods
by: Gallagher, Shannon K., et al.
Published: (2026)
by: Gallagher, Shannon K., et al.
Published: (2026)
Walking the Weight Manifold: a Topological Approach to Conditioning Inspired by Neuromodulation
by: Benjamin, Ari S., et al.
Published: (2025)
by: Benjamin, Ari S., et al.
Published: (2025)
Financial Decision Making using Reinforcement Learning with Dirichlet Priors and Quantum-Inspired Genetic Optimization
by: Nandy, Prasun, et al.
Published: (2025)
by: Nandy, Prasun, et al.
Published: (2025)
NK Hybrid Genetic Algorithm for Clustering
by: Tinós, Renato, et al.
Published: (2024)
by: Tinós, Renato, et al.
Published: (2024)
Neural Genetic Search in Discrete Spaces
by: Kim, Hyeonah, et al.
Published: (2025)
by: Kim, Hyeonah, et al.
Published: (2025)
Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification
by: Pei, Wenbin, et al.
Published: (2026)
by: Pei, Wenbin, et al.
Published: (2026)
Cost Optimization in Production Line Using Genetic Algorithm
by: Rezaee, Alireza
Published: (2026)
by: Rezaee, Alireza
Published: (2026)
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
by: Kalkreuth, Roman, et al.
Published: (2025)
by: Kalkreuth, Roman, et al.
Published: (2025)
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals
by: Sijben, E. M. C., et al.
Published: (2024)
by: Sijben, E. M. C., et al.
Published: (2024)
Towards Scalable Lottery Ticket Networks using Genetic Algorithms
by: Schönberger, Julian, et al.
Published: (2025)
by: Schönberger, Julian, et al.
Published: (2025)
Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
by: Greenberg, Ido, et al.
Published: (2025)
by: Greenberg, Ido, et al.
Published: (2025)
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
by: Krzywda, Maciej, et al.
Published: (2024)
by: Krzywda, Maciej, et al.
Published: (2024)
Node Preservation and its Effect on Crossover in Cartesian Genetic Programming
by: Kocherovsky, Mark, et al.
Published: (2025)
by: Kocherovsky, Mark, et al.
Published: (2025)
Optimizing Feature Selection with Genetic Algorithms: A Review of Methods and Applications
by: Taha, Zhila Yaseen, et al.
Published: (2024)
by: Taha, Zhila Yaseen, et al.
Published: (2024)
FedGA-Tree: Federated Decision Tree using Genetic Algorithm
by: Nguyen, Anh V, et al.
Published: (2025)
by: Nguyen, Anh V, et al.
Published: (2025)
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides
by: Maroni, Gabriele, et al.
Published: (2024)
by: Maroni, Gabriele, et al.
Published: (2024)
Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing
by: Xu, Jinxin, et al.
Published: (2024)
by: Xu, Jinxin, et al.
Published: (2024)
Similar Items
-
Explaining Genetic Programming Trees using Large Language Models
by: Maddigan, Paula, et al.
Published: (2024) -
EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
by: Yang, Xuanhao, et al.
Published: (2026) -
Learning Semantics-aware Search Operators for Genetic Programming
by: Wyrwiński, Piotr, et al.
Published: (2025) -
Sharpness-Aware Minimization in Genetic Programming
by: Bakurov, Illya, et al.
Published: (2024) -
On the Generalization Bounds of Symbolic Regression with Genetic Programming
by: Nomura, Masahiro, et al.
Published: (2026)