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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
Interpretable Policies for Reinforcement Learning by Genetic Programming—0
Interpretable Polynomial Neural Ordinary Differential Equations—0
Interpretable Robotic Friction Learning via Symbolic Regression—0
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
Interval Arithmetic and Interval-Aware Operators for Genetic Programming—0
ISR: Invertible Symbolic Regression—0
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression—0
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics—0
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability—0
Large Language Models as Particle Swarm Optimizers—0
Decoupling Representation and Learning in Genetic Programming: the LaSER Approach—0
Learning Functions to Study the Benefit of Multitask Learning—0
Learning Governing Equations of Unobserved States in Dynamical Systems—0
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression—0
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction—0
Learning Linear Feature Space Transformations in Symbolic Regression—0
Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression—0
Learning Semantics-aware Search Operators for Genetic Programming—0
Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics—0
Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks—0
Learning Symbolic Models for Graph-structured Physical Mechanism—0
Learning Symbolic Physics with Graph Networks—0
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem—0
Lexicase Selection at Scale—0
Library Learning for Neurally-Guided Bayesian Program Induction—0
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming—0
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression—0
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression—0
Logic Guided Genetic Algorithms—0
Macro-Economic Time Series Modeling and Interaction Networks—0
MATE: A Model-based Algorithm Tuning Engine—0
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation—0
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models—0
Model-based Policy Optimization using Symbolic World Model—0
Modeling Melt Pool Features and Spatter Using Symbolic Regression and Machine Learning—0
Modified Soft Brood Crossover in Genetic Programming—0
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations—0
NeoSySPArtaN: A Neuro-Symbolic Spin Prediction Architecture for higher-order multipole waveforms from eccentric Binary Black Hole mergers using Numerical Relativity—0
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations—0
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts—0
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data setCode0
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionCode0
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic RegressionCode0
TMPNN: High-Order Polynomial Regression Based on Taylor Map FactorizationCode0
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Interpretable Scientific Discovery with Symbolic Regression: A ReviewCode0
Automated Modeling Method for Pathloss Model DiscoveryCode0
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatterCode0
Interpreting Microbiome Relative Abundance Data Using Symbolic RegressionCode0
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