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Symbolic Regression

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

Papers

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Showing 151–175 of 418 papers

TitleStatusHype
Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression TreesCode0
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
Univariate Skeleton Prediction in Multivariate Systems Using TransformersCode0
Optimal spanning tree reconstruction in symbolic regression—0
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
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