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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
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions—0
A Search for the Underlying Equation Governing Similar Systems—0
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs—0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Automatic Discovery of Families of Network Generative Processes—0
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
Benchmarking symbolic regression constant optimization schemes—0
Better Decisions through the Right Causal World Model—0
Binary and Multinomial Classification through Evolutionary Symbolic Regression—0
Block building programming for symbolic regression—0
Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection—0
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework—0
Building the Building Blocks: From Simplification to Winning Trees in Genetic Programming—0
Call for Action: towards the next generation of symbolic regression benchmark—0
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)—0
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?—0
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs—0
Cluster Analysis of a Symbolic Regression Search Space—0
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression—0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients—0
Complexity Measures for Multi-objective Symbolic Regression—0
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era—0
Controllable Neural Symbolic Regression—0
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