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Symbolic Regression

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

Papers

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Showing 11–20 of 418 papers

TitleStatusHype
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
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