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Shape-Constrained Symbolic Regression—Improving Extrapolation with Prior Knowledge
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Pareto-Front Exploitation in Symbolic Regression
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Improving Symbolic Regression with Interval Arithmetic and Linear Scaling
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A Methodology for Combining Symbolic Regression and Design of Experiments to Improve Empirical Model Building
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FFX: Fast, Scalable, Deterministic Symbolic Regression Technology
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Symbolic Regression Model Comparison Approach Using Transmitted Variation
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SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
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Procedural Personas as Critics for Dungeon Generation
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MetaCompose: A Compositional Evolutionary Music Composer
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Geometric Semantic Genetic Programming
inferredcites →https://doi.org/10.1007/s10710-019-09371-3openalex-snapshot
Parameter identification for symbolic regression using nonlinear least squares
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Perspectives on system identification
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Data driven modeling of plastic deformation
inferredcites →https://doi.org/10.1016/j.ejor.2007.06.028openalex-snapshot
On a Feasible–Infeasible Two-Population (FI-2Pop) genetic algorithm for constrained optimization: Distance tracing and no free lunch
inferredcites →https://doi.org/10.1016/j.eswa.2018.05.021openalex-snapshot
A multilevel block building algorithm for fast modeling generalized separable systems
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A greedy search tree heuristic for symbolic regression
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Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1063/1.5112747openalex-snapshot
Prediction of stress-strain curves for aluminium alloys using symbolic regression
inferredcites →https://doi.org/10.1080/10618600.2012.707343openalex-snapshot
Shape-Constrained Estimation Using Nonnegative Splines
inferredcites →https://doi.org/10.1109/4235.873237openalex-snapshot
Two fast tree-creation algorithms for genetic programming
inferredcites →https://doi.org/10.1109/cec.2018.8477858openalex-snapshot
Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering
inferredcites →https://doi.org/10.1109/cec.2019.8789889openalex-snapshot
A Memetic Algorithm for Symbolic Regression
inferredcites →https://doi.org/10.1109/tbme.2012.2189771openalex-snapshot
Extrapolatable Analytical Functions for Tendon Excursions and Moment Arms From Sparse Datasets
inferredcites →https://doi.org/10.1109/tevc.2018.2813931openalex-snapshot
IEEE Congress on Evolutionary Computation
inferredcites →https://doi.org/10.1109/tnnls.2020.3017010openalex-snapshot
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
inferredcites →https://doi.org/10.1126/sciadv.aay2631openalex-snapshot
AI Feynman: A physics-inspired method for symbolic regression
inferredcites →https://doi.org/10.1137/18m118935xopenalex-snapshot
DSOS and SDSOS Optimization: More Tractable Alternatives to Sum of Squares and Semidefinite Optimization
inferredcites →https://doi.org/10.1145/1388969.1389075openalex-snapshot
Cartesian genetic programming
inferredcites →https://doi.org/10.1145/1569901.1570048openalex-snapshot
Incorporating expert knowledge in evolutionary search
inferredcites →https://doi.org/10.1145/1570256.1570428openalex-snapshot
Cartesian genetic programming
inferredcites →https://doi.org/10.1145/1830483.1830648openalex-snapshot
Robust symbolic regression with affine arithmetic
inferredcites →https://doi.org/10.1145/2463372.2463486openalex-snapshot
Prioritized grammar enumeration
inferredcites →https://doi.org/10.1145/2576768.2598291openalex-snapshot
Multiple regression genetic programming
inferredcites →https://doi.org/10.1145/3067695.3076107openalex-snapshot
Revisiting interval arithmetic for regression problems in genetic programming
inferredcites →https://doi.org/10.1145/3321707.3321743openalex-snapshot
Solving symbolic regression problems with formal constraints
inferredcites →https://doi.org/10.1162/evco.1997.5.1.31openalex-snapshot
Empirical Investigation of the Benefits of Partial Lamarckianism
inferredcites →https://doi.org/10.1162/evco_a_00205openalex-snapshot
Competent Geometric Semantic Genetic Programming for Symbolic Regression and Boolean Function Synthesis
inferredcites →https://doi.org/10.1162/evco_a_00285openalex-snapshot
Interaction–Transformation Evolutionary Algorithm for Symbolic Regression
inferredcites →https://doi.org/10.1214/18-sts665openalex-snapshot
Nonparametric Shape-Restricted Regression
inferredcites →https://doi.org/10.1214/aos/1176345140openalex-snapshot
Isotonic, Convex and Related Splines
inferredcites →https://doi.org/10.1214/ss/1009213727openalex-snapshot
A General Projection Framework for Constrained Smoothing
inferredcites →https://doi.org/10.1287/opre.2021.0383openalex-snapshot
Shape-Constrained Regression Using Sum of Squares Polynomials
inferredcites →https://doi.org/10.1609/aaai.v31i1.10934openalex-snapshot
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
inferredcites →https://doi.org/10.21236/ada419567openalex-snapshot
The 2003 Genetic and Evolutionary Computation Conference
inferredcites →https://doi.org/10.25088/complexsystems.14.4.285openalex-snapshot
A Comparison of Several Linear Genetic Programming Techniques
inferredcites →https://doi.org/10.3182/20080706-5-kr-1001.01215openalex-snapshot
Perspectives on System Identification
inferredcites →https://doi.org/10.48550/arxiv.1806.06996openalex-snapshot
Optimization over Nonnegative and Convex Polynomials With and Without Semidefinite Programming
inferredcites →https://doi.org/10.48550/arxiv.1806.07259openalex-snapshot
Learning Equations for Extrapolation and Control
inferredcites →https://doi.org/10.48550/arxiv.1901.07714openalex-snapshot
Neural-Guided Symbolic Regression with Asymptotic Constraints
inferredcites →https://doi.org/10.48550/arxiv.1912.04871openalex-snapshot
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
inferredcites →https://doi.org/10.48550/arxiv.cs/0102027openalex-snapshot
Gene Expression Programming: a New Adaptive Algorithm for Solving Problems
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Monotonic Calibrated Interpolated Look-Up Tables
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-3-031-25312-6_17openalex-snapshot
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Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints
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Shape-Constrained Symbolic Regression with NSGA-III
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Automated Inference of Domain Knowledge in Scientific Machine Learning
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A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
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A Hybrid Cooperative Approach for Symbolic Regression
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Comparing Constraint Evaluation Methods for Shape-Constrained Regression
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Implicit Relationship Mining for Analog Circuit Design Using AI Symbolic Regression
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Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation
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Shear strength capacity estimation for exterior and interior beam-column joints through gene expression programming
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Interpretable knowledge distillation via symbolic regression for feedforward neural networks
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Informed machine learning to reconcile interpretability with fidelity in scientific applications
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Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
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A Comprehensive Survey on Symbolic Regression: State-of-the-Art Approaches, Key Applications, Benchmark Evaluations, and Future Research Directions
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Guiding symbolic regression with fuzzy cognitive maps: a hybrid framework for discovering interpretable, theory-consistent analytical expressions
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Complementing a Continuum Thermodynamic Approach to Constitutive Modeling with Symbolic Regression
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