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Symbolic Regression

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

Papers

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Showing 301–325 of 418 papers

TitleStatusHype
Rediscovering orbital mechanics with machine learning—0
Deep Symbolic Regression for Recurrent Sequences—0
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatterCode0
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression—0
Discovering State Variables Hidden in Experimental DataCode1
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression—0
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming SeedingCode1
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
Symbolic Regression via Neural-Guided Genetic Programming Population SeedingCode1
Accelerating Genetic Programming using GPUsCode0
Chaos as an interpretable benchmark for forecasting and data-driven modellingCode1
Building the Building Blocks: From Simplification to Winning Trees in Genetic Programming—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
D-CODE: Discovering Closed-form ODEs from Observed Trajectories—0
Multi Expression Programming -- an in-depth descriptionCode1
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication—0
Cluster Analysis of a Symbolic Regression Search Space—0
AI Descartes: Combining Data and Theory for Derivable Scientific DiscoveryCode1
Complexity Measures for Multi-objective Symbolic Regression—0
Data Aggregation for Reducing Training Data in Symbolic Regression—0
On the Effectiveness of Genetic Operations in Symbolic Regression—0
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-valued Optimization Problem—0
Contemporary Symbolic Regression Methods and their Relative PerformanceCode1
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression—0
Using Shape Constraints for Improving Symbolic Regression Models—0
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