no code implementations • 3 Apr 2023 • F. O. de Franca, M. Virgolin, M. Kommenda, M. S. Majumder, M. Cranmer, G. Espada, L. Ingelse, A. Fonseca, M. Landajuela, B. Petersen, R. Glatt, N. Mundhenk, C. S. Lee, J. D. Hochhalter, D. L. Randall, P. Kamienny, H. Zhang, G. Dick, A. Simon, B. Burlacu, Jaan Kasak, Meera Machado, Casper Wilstrup, W. G. La Cava
Symbolic regression searches for analytic expressions that accurately describe studied phenomena.
no code implementations • 12 Apr 2021 • Kevin René Broløs, Meera Vieira Machado, Chris Cave, Jaan Kasak, Valdemar Stentoft-Hansen, Victor Galindo Batanero, Tom Jelen, Casper Wilstrup
In this article we introduce the supervised machine learning tool called Feyn.
1 code implementation • 28 Mar 2021 • Casper Wilstrup, Jaan Kasak
This study demonstrates that for small training sets of 250 observations, symbolic regression generalises better to out-of-sample data than traditional machine learning frameworks, as measured by the coefficient of determination R2 on the validation set.
no code implementations • 31 Dec 2020 • Jaan Kasak, James Creswell, Hao liu, Pavel Naselsky
We show that the total number density of non-polarized points of the E- and B-families is closely related to the presence of lensing and the tensor-to-scalar ratio $r$.
Cosmology and Nongalactic Astrophysics