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Interpretable Machine Learning for Science with PySR and
  SymbolicRegression.jl
v1v2v3 (latest)

Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

2 May 2023
M. Cranmer
ArXiv (abs)PDFHTML

Papers citing "Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl"

3 / 3 papers shown
Title
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
Mansooreh Montazerin
Majd Al Aawar
Antonio Ortega
Ajitesh Srivastava
24
0
0
09 Jun 2025
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian
  Graph Neural Networks
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
S. Bishnoi
Ravinder Bhattoo
J. Jayadeva
Sayan Ranu
N. M. A. Krishnan
PINNAI4CE
70
2
0
11 Jul 2023
Learning Closed-form Equations for Subgrid-scale Closures from
  High-fidelity Data: Promises and Challenges
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges
Karan Jakhar
Yifei Guan
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
AI4ClAI4CE
75
16
0
08 Jun 2023
1