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Symbolic Regression

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

Papers

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Showing 201–250 of 418 papers

TitleStatusHype
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
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks—0
Data Aggregation for Reducing Training Data in Symbolic Regression—0
Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression—0
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation—0
Data-driven PDE discovery with evolutionary approach—0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models—0
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset—0
D-CODE: Discovering Closed-form ODEs from Observed Trajectories—0
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search—0
Deep Neural Network for Constraint Acquisition through Tailored Loss Function—0
Deep symbolic regression—0
Deep Symbolic Regression for Recurrent Sequences—0
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search—0
Developing Postfix-GP Framework for Symbolic Regression Problems—0
Differentiable Genetic Programming—0
Differentiable Genetic Programming for High-dimensional Symbolic Regression—0
Diffusion-Based Symbolic Regression—0
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression—0
Neural Symbolic Regression of Complex Network Dynamics—0
Scalable Neural Symbolic Regression using Control Variables—0
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression—0
NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery—0
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure—0
Online Symbolic Regression with Informative Query—0
On sparse regression, Lp-regularization, and automated model discovery—0
On the definition and importance of interpretability in scientific machine learning—0
On the Effectiveness of Genetic Operations in Symbolic Regression—0
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data—0
Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications—0
Operator Feature Neural Network for Symbolic Regression—0
Optimal spanning tree reconstruction in symbolic regression—0
Order Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands—0
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors—0
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar—0
Physical Constraint Embedded Neural Networks for inference and noise regulation—0
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables—0
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles—0
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning—0
Prove Symbolic Regression is NP-hard by Symbol Graph—0
Quantifying Behavioural Distance Between Mathematical Expressions—0
Rediscovering orbital mechanics with machine learning—0
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life—0
Reinforcement Learning Based Symbolic Regression for Load Modeling—0
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns—0
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