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Symbolic Regression

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

Papers

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Showing 251–300 of 418 papers

TitleStatusHype
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning—0
A Melting Pot of Evolution and Learning—0
Scalable Neural Symbolic Regression using Control Variables—0
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation—0
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health—0
Symbolic Regression via Control Variable Genetic ProgrammingCode0
RSRM: Reinforcement Symbolic Regression Machine—0
Probabilistic Lexicase SelectionCode0
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data—0
Active Learning in Symbolic Regression with Physical Constraints—0
Symbolic Regression on FPGAs for Fast Machine Learning Inference—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Controllable Neural Symbolic Regression—0
Differentiable Genetic Programming for High-dimensional Symbolic Regression—0
Untangling the Effects of Down-Sampling and Selection in Genetic Programming—0
Priors for symbolic regressionCode0
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation—0
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition—0
All You Need Is Sex for Diversity—0
Context Matters: Adaptive Mutation for GrammarsCode0
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approachCode0
Symbolic Regression for PDEs using Pruned Differentiable Programs—0
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search—0
Online Symbolic Regression with Informative Query—0
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions—0
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems—0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations—0
Learning Symbolic Models for Graph-structured Physical Mechanism—0
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression—0
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System—0
Symbolic expression generation via Variational Auto-Encoder—0
Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space—0
Steel Phase Kinetics Modeling using Symbolic Regression—0
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data—0
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar—0
A Generic Approach for Reproducible Model DistillationCode0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression—0
Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression—0
AI-Assisted Discovery of Quantitative and Formal Models in Social ScienceCode0
Shape-constrained Symbolic Regression with NSGA-III—0
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization—0
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles—0
The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedbackCode0
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems—0
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression—0
Lexicase Selection at Scale—0
Interpretable Polynomial Neural Ordinary Differential Equations—0
What can we Learn by Predicting Accuracy?—0
Automated discovery of interpretable gravitational-wave population modelsCode0
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