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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
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
Discovering symbolic expressions with parallelized tree searchCode2
Optimal spanning tree reconstruction in symbolic regression—0
Univariate Skeleton Prediction in Multivariate Systems Using TransformersCode0
Effective Adaptive Mutation Rates for Program Synthesis—0
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function DiscoveryCode1
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
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression—0
A Machine Learning-based Approach for Solving Recurrence Relations and its use in Cost Analysis of Logic Programs—0
ISR: Invertible Symbolic Regression—0
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development—0
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural NetworksCode1
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks—0
In-Context Symbolic Regression: Leveraging Large Language Models for Function DiscoveryCode1
Learning Governing Equations of Unobserved States in Dynamical Systems—0
LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsCode1
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
The Causal Chambers: Real Physical Systems as a Testbed for AI MethodologyCode1
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
Minimum variance threshold for epsilon-lexicase selectionCode0
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive HashingCode0
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data setCode0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression—0
Deep Neural Network for Constraint Acquisition through Tailored Loss Function—0
MMSR: Symbolic Regression is a Multi-Modal Information Fusion TaskCode1
syren-halofit: A fast, interpretable, high-precision formula for the ΛCDM nonlinear matter power spectrumCode1
Order Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands—0
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