SymFormer: End-to-end symbolic regression using transformer-based architecture

31 May 2022

Papers citing "SymFormer: End-to-end symbolic regression using transformer-based architecture"

9 / 9 papers shown

Title
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 87 1 0 24 Feb 2025
Generalizing the SINDy approach with nested neural networks Camilla Fiorini Clément Flint Louis Fostier Emmanuel Franck Reyhaneh Hashemi Victor Michel-Dansac Wassim Tenachi 76 1 0 28 Jan 2025
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence İlker Işık R. G. Cinbis Ebru Aydin Gol 33 0 0 22 Oct 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming Yousef A. Radwan G. Kronberger Stephan M. Winkler OffRL 56 4 0 05 Jun 2024
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 24 21 0 09 Oct 2023
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 33 14 0 20 Apr 2023
Differentiable Genetic Programming for High-dimensional Symbolic Regression Peng Zeng Xiaotian Song Andrew Lensen Yuwei Ou Yanan Sun Mengjie Zhang Jiancheng Lv 34 2 0 18 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 39 5 0 13 Apr 2023
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 21 4 0 05 Nov 2022