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Symbolic Regression

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

Papers

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Showing 1–50 of 418 papers

TitleStatusHype
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts—0
Discovering the underlying analytic structure within Standard Model constants using artificial intelligenceCode0
H-FEX: A Symbolic Learning Method for Hamiltonian Systems—0
Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear DynamicsCode0
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrumCode1
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Sparse Interpretable Deep Learning with LIES Networks for Symbolic RegressionCode0
DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience—0
Diffusion-Based Symbolic Regression—0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Symbolic Foundation Regressor on Complex Networks—0
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression—0
Decoupling Representation and Learning in Genetic Programming: the LaSER Approach—0
Interpretable Robotic Friction Learning via Symbolic Regression—0
From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming—0
On the definition and importance of interpretability in scientific machine learning—0
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold NetworksCode1
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era—0
UniSymNet: A Unified Symbolic Network Guided by Transformer—0
Call for Action: towards the next generation of symbolic regression benchmark—0
Thinking Outside the Template with Modular GP-GOMEA—0
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 Search—0
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression—0
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression—0
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic ProgrammingCode1
Large Language Models as Particle Swarm Optimizers—0
DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search—0
Better Decisions through the Right Causal World Model—0
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionCode0
Discovering dynamical laws for speech gestures—0
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions—0
Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications—0
Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose DegradationCode1
Grammar-based Ordinary Differential Equation Discovery—0
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline—0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors—0
A Neural Symbolic Model for Space PhysicsCode2
Reinforcement Learning Based Symbolic Regression for Load Modeling—0
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)—0
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights—0
Estimation of total body fat using symbolic regression and evolutionary algorithms—0
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection—0
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression NetworksCode0
seqKAN: Sequence processing with Kolmogorov-Arnold NetworksCode0
From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning—0
Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows—0
Learning Semantics-aware Search Operators for Genetic Programming—0
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning—0
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