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Symbolic Regression

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

Papers

Showing 51100 of 418 papers

TitleStatusHype
Finding active galactic nuclei through FinkCode1
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledgeCode1
Deep Learning and Symbolic Regression for Discovering Parametric EquationsCode1
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific DiscoveryCode1
SymFormer: End-to-end symbolic regression using transformer-based architectureCode1
End-to-end symbolic regression with transformersCode1
Dimensionless machine learning: Imposing exact units equivarianceCode1
Symbolic Learning to Optimize: Towards Interpretability and ScalabilityCode1
Discovering State Variables Hidden in Experimental DataCode1
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming SeedingCode1
Symbolic Regression via Neural-Guided Genetic Programming Population SeedingCode1
Chaos as an interpretable benchmark for forecasting and data-driven modellingCode1
Multi Expression Programming -- an in-depth descriptionCode1
AI Descartes: Combining Data and Theory for Derivable Scientific DiscoveryCode1
Contemporary Symbolic Regression Methods and their Relative PerformanceCode1
Improving exploration in policy gradient search: Application to symbolic optimizationCode1
SymbolicGPT: A Generative Transformer Model for Symbolic RegressionCode1
Neural Symbolic Regression that ScalesCode1
Symbolic regression for scientific discovery: an application to wind speed forecastingCode1
Probabilistic Grammars for Equation DiscoveryCode1
Conjecturing-Based Discovery of Patterns in DataCode1
OccamNet: A Fast Neural Model for Symbolic Regression at ScaleCode1
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularityCode1
Learning a Formula of Interpretability to Learn Interpretable FormulasCode1
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradientsCode1
AI Feynman: a Physics-Inspired Method for Symbolic RegressionCode1
Improving Model-based Genetic Programming for Symbolic Regression of Small ExpressionsCode1
Multi Expression ProgrammingCode1
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts0
Discovering the underlying analytic structure within Standard Model constants using artificial intelligenceCode0
H-FEX: A Symbolic Learning Method for Hamiltonian Systems0
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear DynamicsCode0
Sparse Interpretable Deep Learning with LIES Networks for Symbolic RegressionCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience0
Diffusion-Based Symbolic Regression0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Symbolic Foundation Regressor on Complex Networks0
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression0
Decoupling Representation and Learning in Genetic Programming: the LaSER Approach0
Interpretable Robotic Friction Learning via Symbolic Regression0
On the definition and importance of interpretability in scientific machine learning0
From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming0
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era0
UniSymNet: A Unified Symbolic Network Guided by Transformer0
Call for Action: towards the next generation of symbolic regression benchmark0
Thinking Outside the Template with Modular GP-GOMEA0
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property predictionCode0
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search0
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression0
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