GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Yanjie, Zhang, Liping, Wu, Min, Li, Weijun, Yu, Lina, Liu, Jingyi, Deng, Yusong, Wan, Mingzhu, Ning, Xin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Operator Feature Neural Network for Symbolic Regression
por: Deng, Yusong, et al.
Publicado: (2024)
por: Deng, Yusong, et al.
Publicado: (2024)
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
por: Li, Yanjie, et al.
Publicado: (2024)
por: Li, Yanjie, et al.
Publicado: (2024)
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
por: Li, Yanjie, et al.
Publicado: (2024)
por: Li, Yanjie, et al.
Publicado: (2024)
MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
por: Li, Yanjie, et al.
Publicado: (2024)
por: Li, Yanjie, et al.
Publicado: (2024)
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
por: Liu, Jingyi, et al.
Publicado: (2024)
por: Liu, Jingyi, et al.
Publicado: (2024)
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
por: Wu, Min, et al.
Publicado: (2024)
por: Wu, Min, et al.
Publicado: (2024)
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
por: Li, Wenqiang, et al.
Publicado: (2023)
por: Li, Wenqiang, et al.
Publicado: (2023)
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
por: Li, Yanjie, et al.
Publicado: (2023)
por: Li, Yanjie, et al.
Publicado: (2023)
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
por: Li, Yanjie, et al.
Publicado: (2024)
por: Li, Yanjie, et al.
Publicado: (2024)
Closed-form Solutions: A New Perspective on Solving Differential Equations
por: Wei, Shu, et al.
Publicado: (2024)
por: Wei, Shu, et al.
Publicado: (2024)
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure
por: Li, Yanjie, et al.
Publicado: (2024)
por: Li, Yanjie, et al.
Publicado: (2024)
The Inefficiency of Genetic Programming for Symbolic Regression
por: Kronberger, Gabriel, et al.
Publicado: (2024)
por: Kronberger, Gabriel, et al.
Publicado: (2024)
Transformer Semantic Genetic Programming for Symbolic Regression
por: Anthes, Philipp, et al.
Publicado: (2025)
por: Anthes, Philipp, et al.
Publicado: (2025)
On the Generalization Bounds of Symbolic Regression with Genetic Programming
por: Nomura, Masahiro, et al.
Publicado: (2026)
por: Nomura, Masahiro, et al.
Publicado: (2026)
Multiaxial Fatigue Life Prediction Based on Deep Symbolic Regression
por: Zhanguang Zheng, et al.
Publicado: (2025)
por: Zhanguang Zheng, et al.
Publicado: (2025)
Improving Genetic Programming for Symbolic Regression with Equality Graphs
por: de Franca, Fabricio Olivetti, et al.
Publicado: (2025)
por: de Franca, Fabricio Olivetti, et al.
Publicado: (2025)
GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework
por: Haut, Nathan, et al.
Publicado: (2026)
por: Haut, Nathan, et al.
Publicado: (2026)
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
por: Radwan, Yousef A., et al.
Publicado: (2024)
por: Radwan, Yousef A., et al.
Publicado: (2024)
QE-Catalytic: A Graph-Language Multimodal Base Model for Relaxed-Energy Prediction in Catalytic Adsorption
por: Li, Yanjie, et al.
Publicado: (2025)
por: Li, Yanjie, et al.
Publicado: (2025)
Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method with Tunable Primitives
por: Huang, Zhixing, et al.
Publicado: (2025)
por: Huang, Zhixing, et al.
Publicado: (2025)
Transformer Semantic Genetic Programming for d-dimensional Symbolic Regression Problems
por: Anthes, Philipp, et al.
Publicado: (2025)
por: Anthes, Philipp, et al.
Publicado: (2025)
Learning Continuous Face Representation with Explicit Functions
por: Zhang, Liping, et al.
Publicado: (2021)
por: Zhang, Liping, et al.
Publicado: (2021)
GESR: Graph-Based Edge Semantic Reconstruction for Stealthy Communication Detection with Benign-Only Training
por: Xu, Henghui, et al.
Publicado: (2026)
por: Xu, Henghui, et al.
Publicado: (2026)
Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
por: Kronberger, Gabriel, et al.
Publicado: (2026)
por: Kronberger, Gabriel, et al.
Publicado: (2026)
GENSR: Symbolic Regression Based in Equation Generative Space
por: Li, Qian, et al.
Publicado: (2026)
por: Li, Qian, et al.
Publicado: (2026)
Constraining Genetic Symbolic Regression via Semantic Backpropagation
por: Reissmann, Maximilian, et al.
Publicado: (2024)
por: Reissmann, Maximilian, et al.
Publicado: (2024)
On the ReLU Lagrangian Cuts for Stochastic Mixed Integer Programming
por: Deng, Haoyun, et al.
Publicado: (2024)
por: Deng, Haoyun, et al.
Publicado: (2024)
Data-Efficient Symbolic Regression via Foundation Model Distillation
por: Ying, Wangyang, et al.
Publicado: (2025)
por: Ying, Wangyang, et al.
Publicado: (2025)
AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution
por: Mächtle, Felix, et al.
Publicado: (2025)
por: Mächtle, Felix, et al.
Publicado: (2025)
Dissection of the Potential Activity Materials and Mechanism of Cortex Moutan Based on In Vivo Substances Profiling
por: Mingzhu Cao, et al.
Publicado: (2025)
por: Mingzhu Cao, et al.
Publicado: (2025)
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
por: Lu, Jingyi, et al.
Publicado: (2024)
por: Lu, Jingyi, et al.
Publicado: (2024)
Not that Groove: Zero-Shot Symbolic Music Editing
por: Zhang, Li
Publicado: (2025)
por: Zhang, Li
Publicado: (2025)
Diffusion-Based Symbolic Regression
por: Bastiani, Zachary, et al.
Publicado: (2025)
por: Bastiani, Zachary, et al.
Publicado: (2025)
Random Source Iteration Method: Mitigating the Ray Effect in the Discrete Ordinates Method
por: Fu, Jingyi, et al.
Publicado: (2025)
por: Fu, Jingyi, et al.
Publicado: (2025)
Discovering Continuous-Time Memory-Based Symbolic Policies using Genetic Programming
por: de Vries, Sigur, et al.
Publicado: (2024)
por: de Vries, Sigur, et al.
Publicado: (2024)
Symbolic Discovery of Stochastic Differential Equations with Genetic Programming
por: de Vries, Sigur, et al.
Publicado: (2026)
por: de Vries, Sigur, et al.
Publicado: (2026)
Behavioral Modeling and Digital Predistortion for Power Amplifier Based on the Sparse Smooth Twin Support Vector Regression Method
por: Changzhi Xu, et al.
Publicado: (2024)
por: Changzhi Xu, et al.
Publicado: (2024)
From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search
por: Deng, Liping, et al.
Publicado: (2026)
por: Deng, Liping, et al.
Publicado: (2026)
Observer‐Based Containment Control for Linear Parameter‐Varying Multi‐Agent Systems
por: Yanjie Liu, et al.
Publicado: (2025)
por: Yanjie Liu, et al.
Publicado: (2025)
Programmatic Context Augmentation for LLM-based Symbolic Regression
por: Liu, Hao, et al.
Publicado: (2026)
por: Liu, Hao, et al.
Publicado: (2026)
Ejemplares similares
-
Operator Feature Neural Network for Symbolic Regression
por: Deng, Yusong, et al.
Publicado: (2024) -
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
por: Li, Yanjie, et al.
Publicado: (2024) -
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
por: Li, Yanjie, et al.
Publicado: (2024) -
MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
por: Li, Yanjie, et al.
Publicado: (2024) -
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
por: Liu, Jingyi, et al.
Publicado: (2024)