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Symbolic Regression is NP-hard

Symbolic Regression is NP-hard

3 July 2022
M. Virgolin
S. Pissis
ArXivPDFHTML

Papers citing "Symbolic Regression is NP-hard"

15 / 15 papers shown
Title
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
Conor F. Hayes
Felipe Leno Da Silva
Jiachen Yang
T. Nathan Mundhenk
Chak Shing Lee
...
Ahmet Can Solak
Thomas Desautels
Daniel Faissol
Brenden K. Petersen
Mikel Landajuela
22
0
0
16 May 2025
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression
N. Makke
S. Chawla
51
0
0
13 Jan 2025
ISR: Invertible Symbolic Regression
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
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
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
Inexact Simplification of Symbolic Regression Expressions with
  Locality-sensitive Hashing
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Guilherme Seidyo Imai Aldeia
F. O. D. França
William La Cava
33
2
0
08 Apr 2024
Vertical Symbolic Regression
Vertical Symbolic Regression
Nan Jiang
Md Nasim
Yexiang Xue
27
1
0
19 Dec 2023
Physical Symbolic Optimization
Physical Symbolic Optimization
Wassim Tenachi
Rodrigo Ibata
F. Diakogiannis
44
0
0
06 Dec 2023
GFN-SR: Symbolic Regression with Generative Flow Networks
GFN-SR: Symbolic Regression with Generative Flow Networks
Sida Li
Ioana Marinescu
Sebastian Musslick
29
3
0
01 Dec 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY
  Estimation
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
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny
Guillaume Lample
Sylvain Lamprier
M. Virgolin
34
25
0
22 Feb 2023
Stretched and measured neural predictions of complex network dynamics
Stretched and measured neural predictions of complex network dynamics
V. Vasiliauskaite
Nino Antulov-Fantulin
33
1
0
12 Jan 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review
Interpretable Scientific Discovery with Symbolic Regression: A Review
N. Makke
S. Chawla
38
93
0
20 Nov 2022
What can we Learn by Predicting Accuracy?
What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix
Benjamin Chamand
27
4
0
02 Aug 2022
Symbolic Regression by Exhaustive Search: Reducing the Search Space
  Using Syntactical Constraints and Efficient Semantic Structure Deduplication
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
63
25
0
28 Sep 2021
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