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Symbolic Regression

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

Papers

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Showing 51–100 of 418 papers

TitleStatusHype
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and BeyondCode1
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design FrameworkCode1
Transformer Semantic Genetic Programming for Symbolic Regression—0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models—0
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression ModelsCode0
Improving Genetic Programming for Symbolic Regression with Equality GraphsCode0
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression—0
EvoGP: A GPU-accelerated Framework for Tree-based Genetic ProgrammingCode7
Modeling Melt Pool Features and Spatter Using Symbolic Regression and Machine Learning—0
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery—0
An Empirical Wall-Pressure Spectrum Model for Aeroacoustic Predictions Based on Symbolic Regression—0
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression—0
Data driven discovery of human mobility modelsCode0
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization—0
Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement LearningCode0
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid SpacesCode4
ViSymRe: Vision-guided Multimodal Symbolic Regression—0
Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for ElectrocatalysisCode0
Benchmarking symbolic regression constant optimization schemes—0
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis—0
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life—0
SymbolFit: Automatic Parametric Modeling with Symbolic RegressionCode2
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression—0
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection—0
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length—0
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration—0
Guiding Genetic Programming with Graph Neural Networks—0
Integrating Fuzzy Logic into Deep Symbolic Regression—0
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models—0
In Context Learning and Reasoning for Symbolic Regression with Large Language ModelsCode0
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification—0
Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression TreesCode0
Interpreting Microbiome Relative Abundance Data Using Symbolic RegressionCode0
syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energyCode1
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
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model DiscoveryCode1
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
Symbolic Regression with a Learned Concept LibraryCode1
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
Recent Advances on Machine Learning for Computational Fluid Dynamics: A SurveyCode3
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
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