Title
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression Ho Fung Tsoi Vladimir Loncar S. Dasu Philip C. Harris 44 3 0 18 Jan 2024
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 46 40 0 02 May 2023
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites Y. Ni S. Genel D. Anglés-Alcázar F. Villaescusa-Navarro Yongseok Jo ... M. Gebhardt Helen Shao S. Pandey L. Hernquist R. Davé 26 22 0 04 Apr 2023
Exhaustive Symbolic Regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 33 26 0 21 Nov 2022
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter D. Wadekar L. Thiele F. Villaescusa-Navarro J. Hill M. Cranmer D. Spergel N. Battaglia D. Anglés-Alcázar L. Hernquist S. Ho 54 12 0 04 Jan 2022

The SZ flux-mass (YYY-MMM) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

Papers citing "The SZ flux-mass ($Y$-$M$) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback"