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Symbolic Regression

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

Papers

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Showing 101–150 of 418 papers

TitleStatusHype
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression—0
Large Language Models as Particle Swarm Optimizers—0
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search—0
Better Decisions through the Right Causal World Model—0
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionCode0
Discovering dynamical laws for speech gestures—0
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions—0
Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications—0
Grammar-based Ordinary Differential Equation Discovery—0
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline—0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors—0
Reinforcement Learning Based Symbolic Regression for Load Modeling—0
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)—0
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights—0
Estimation of total body fat using symbolic regression and evolutionary algorithms—0
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection—0
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression NetworksCode0
seqKAN: Sequence processing with Kolmogorov-Arnold NetworksCode0
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning—0
Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows—0
Learning Semantics-aware Search Operators for Genetic Programming—0
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning—0
Transformer Semantic Genetic Programming for Symbolic Regression—0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models—0
Improving Genetic Programming for Symbolic Regression with Equality GraphsCode0
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression ModelsCode0
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression—0
Modeling Melt Pool Features and Spatter Using Symbolic Regression and Machine Learning—0
An Empirical Wall-Pressure Spectrum Model for Aeroacoustic Predictions Based on Symbolic Regression—0
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery—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
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
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
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