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Symbolic Regression

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

Papers

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Showing 351–375 of 418 papers

TitleStatusHype
A Seq2Seq approach to Symbolic RegressionCode0
OccamNet: A Fast Neural Model for Symbolic Regression at ScaleCode1
Discovering Symbolic Models from Deep Learning with Inductive BiasesCode2
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularityCode1
Symbolic Regression using Mixed-Integer Nonlinear Optimization—0
Learning Functions to Study the Benefit of Multitask Learning—0
Symbolic Pregression: Discovering Physical Laws from Distorted Video—0
MATE: A Model-based Algorithm Tuning Engine—0
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations—0
Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms—0
Symbolic Regression Driven by Training Data and Prior Knowledge—0
Learning a Formula of Interpretability to Learn Interpretable FormulasCode1
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data—0
Explainable Machine Learning Control -- robust control and stability analysis—0
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach—0
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradientsCode1
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific DiscoveryCode0
Deep symbolic regression—0
Learning Symbolic Physics with Graph Networks—0
A Search for the Underlying Equation Governing Similar Systems—0
A New Deterministic Technique for Symbolic Regression—0
Automatic Discovery of Families of Network Generative Processes—0
Symbolic regression by uniform random global searchCode0
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms—0
Epsilon-Lexicase Selection for RegressionCode0
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