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Symbolic Regression

producing a mathematical expression (symbolic expression) that fits a given tabular data.

Papers

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Showing 151–200 of 418 papers

TitleStatusHype
Interpreting Microbiome Relative Abundance Data Using Symbolic RegressionCode0
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large pCode0
Neural Symbolic Regression of Complex Network Dynamics—0
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
Analysing the Influence of Reorder Strategies for Cartesian Genetic ProgrammingCode0
Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection—0
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns—0
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks—0
Quantifying Behavioural Distance Between Mathematical Expressions—0
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Operator Feature Neural Network for Symbolic Regression—0
Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature—0
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming—0
Discovering Car-following Dynamics from Trajectory Data through Deep Learning—0
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression—0
Model-based Policy Optimization using Symbolic World Model—0
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics—0
Optimal spanning tree reconstruction in symbolic regression—0
Univariate Skeleton Prediction in Multivariate Systems Using TransformersCode0
Effective Adaptive Mutation Rates for Program Synthesis—0
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning—0
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression—0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models—0
Accelerating evolutionary exploration through language model-based transfer learning—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming—0
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability—0
Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression—0
Shape Constraints in Symbolic Regression using Penalized Least Squares—0
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous CatalysisCode0
Symbolic Regression for Beyond the Standard Model Physics—0
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations—0
AI-driven, Model-Free Current Control: A Deep Symbolic Approach for Optimal Induction Machine Performance—0
A Machine Learning-based Approach for Solving Recurrence Relations and its use in Cost Analysis of Logic Programs—0
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression—0
ISR: Invertible Symbolic Regression—0
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development—0
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks—0
Learning Governing Equations of Unobserved States in Dynamical Systems—0
The Inefficiency of Genetic Programming for Symbolic Regression -- Extended Version—0
Generalizing the SINDy approach with nested neural networks—0
Prove Symbolic Regression is NP-hard by Symbol Graph—0
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem—0
Discovering Nuclear Models from Symbolic Machine Learning—0
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form EquationsCode0
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning—0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
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