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Symbolic Regression

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

Papers

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Showing 301–350 of 418 papers

TitleStatusHype
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
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
Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression—0
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression—0
Discovering Car-following Dynamics from Trajectory Data through Deep Learning—0
Discovering dynamical laws for speech gestures—0
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression—0
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions—0
Discovering interpretable models of scientific image data with deep learning—0
Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus—0
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks—0
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