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Symbolic Regression

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

Papers

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Showing 151–200 of 418 papers

TitleStatusHype
Explainable Machine Learning Control -- robust control and stability analysis—0
Interpretable Neural PDE Solvers using Symbolic Frameworks—0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming—0
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights—0
An Empirical Wall-Pressure Spectrum Model for Aeroacoustic Predictions Based on Symbolic Regression—0
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models—0
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)—0
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
Estimation of total body fat using symbolic regression and evolutionary algorithms—0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression—0
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?—0
Call for Action: towards the next generation of symbolic regression benchmark—0
Incorporating domain knowledge into neural-guided search via in situ priors and constraints—0
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines—0
A Greedy Search Tree Heuristic for Symbolic Regression—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis—0
A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression—0
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms—0
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression—0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems—0
Building the Building Blocks: From Simplification to Winning Trees in Genetic Programming—0
An Approach to Symbolic Regression Using Feyn—0
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations—0
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search—0
From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming—0
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning—0
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline—0
Generalizing the SINDy approach with nested neural networks—0
Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming—0
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning—0
Genetic Programming Based Symbolic Regression for Analytical Solutions to Differential Equations—0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks—0
Complexity Measures for Multi-objective Symbolic Regression—0
Globally Optimal Symbolic Regression—0
Global solar irradiation prediction using a multi-gene genetic programming approach—0
Elite Bases Regression: A Real-time Algorithm for Symbolic Regression—0
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine—0
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework—0
Incorporating domain knowledge into neural-guided search—0
Inferring the Structure of Ordinary Differential Equations—0
Grammar-based Ordinary Differential Equation Discovery—0
Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection—0
GSR: A Generalized Symbolic Regression Approach—0
Guided Evolution with Binary Discriminators for ML Program Search—0
Guiding Genetic Programming with Graph Neural Networks—0
Untangling the Effects of Down-Sampling and Selection in Genetic Programming—0
Effective Adaptive Mutation Rates for Program Synthesis—0
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