Symbolic Regression is NP-hard

3 July 2022

Papers citing "Symbolic Regression is NP-hard"

12 / 12 papers shown

Title
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression N. Makke S. Chawla 49 0 0 13 Jan 2025
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 42 15 0 29 Apr 2024
Prove Symbolic Regression is NP-hard by Symbol Graph Jinglu Song Qiang Lu Bozhou Tian Jingwen Zhang Jake Luo Zhiguang Wang 30 0 0 22 Apr 2024
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 21 1 0 19 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 35 0 0 06 Dec 2023
GFN-SR: Symbolic Regression with Generative Flow Networks Sida Li Ioana Marinescu Sebastian Musslick 21 3 0 01 Dec 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 28 25 0 22 Feb 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 25 1 0 12 Jan 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke S. Chawla 30 93 0 20 Nov 2022
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication Lukas Kammerer G. Kronberger Bogdan Burlacu Stephan M. Winkler M. Kommenda M. Affenzeller 55 25 0 28 Sep 2021