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Symbolic Regression

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

Papers

Showing 101150 of 418 papers

TitleStatusHype
Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression0
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms0
Data Aggregation for Reducing Training Data in Symbolic Regression0
Data-driven PDE discovery with evolutionary approach0
Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models0
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset0
D-CODE: Discovering Closed-form ODEs from Observed Trajectories0
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression0
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search0
Exploring Hidden Semantics in Neural Networks with Symbolic Regression0
Deep Neural Network for Constraint Acquisition through Tailored Loss Function0
Deep symbolic regression0
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks0
Deep Symbolic Regression for Recurrent Sequences0
Controllable Neural Symbolic Regression0
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search0
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data0
Differentiable Genetic Programming0
Differentiable Genetic Programming for High-dimensional Symbolic Regression0
Diffusion-Based Symbolic Regression0
RSRM: Reinforcement Symbolic Regression Machine0
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems0
Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression0
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression0
Discovering Car-following Dynamics from Trajectory Data through Deep Learning0
Discovering dynamical laws for speech gestures0
Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression0
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution0
Complexity Measures for Multi-objective Symbolic Regression0
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients0
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming0
AI-driven, Model-Free Current Control: A Deep Symbolic Approach for Optimal Induction Machine Performance0
A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams0
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP0
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression0
Cluster Analysis of a Symbolic Regression Search Space0
A New Deterministic Technique for Symbolic Regression0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics0
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines0
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs0
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights0
A Greedy Search Tree Heuristic for Symbolic Regression0
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming0
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?0
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)0
An Empirical Wall-Pressure Spectrum Model for Aeroacoustic Predictions Based on Symbolic Regression0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression0
Explainable Machine Learning Control -- robust control and stability analysis0
Call for Action: towards the next generation of symbolic regression benchmark0
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