Learning concise representations for regression by evolving networks of
trees

Learning concise representations for regression by evolving networks of trees

3 July 2018

William La Cava

Papers citing "Learning concise representations for regression by evolving networks of trees"

11 / 11 papers shown

Title
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 39 0 0 09 May 2025
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 44 0 0 06 Nov 2024
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing Guilherme Seidyo Imai Aldeia F. O. D. França William La Cava 41 2 0 08 Apr 2024
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 34 22 0 09 Oct 2023
Taylor Genetic Programming for Symbolic Regression Baihe He Qiang Lu Qingyun Yang Jake Luo Zhiguang Wang 37 29 0 28 Apr 2022
Transformation-Interaction-Rational Representation for Symbolic Regression F. O. França 55 8 0 25 Apr 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 33 166 0 22 Apr 2022
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 62 253 0 29 Jul 2021
Semantic variation operators for multidimensional genetic programming William La Cava J. Moore 13 16 0 18 Apr 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016
Convolution by Evolution: Differentiable Pattern Producing Networks Chrisantha Fernando Dylan Banarse Malcolm Reynolds F. Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra 191 102 0 08 Jun 2016