SymbolicGPT: A Generative Transformer Model for Symbolic Regression

SymbolicGPT: A Generative Transformer Model for Symbolic Regression

27 June 2021

Mojtaba Valipour

Papers citing "SymbolicGPT: A Generative Transformer Model for Symbolic Regression"

17 / 17 papers shown

Title
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 129 1 0 24 Feb 2025
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 77 2 0 22 Oct 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression Ho Fung Tsoi Vladimir Loncar S. Dasu Philip C. Harris 178 3 0 18 Jan 2024
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato Jannis Brugger Sašo Džeroski Ross King 59 12 0 03 May 2023
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 80 179 0 11 Jun 2021
Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks Gang Chen 28 8 0 12 Dec 2020
Probabilistic Grammars for Equation Discovery Jure Brence L. Todorovski Jannis Brugger 34 34 0 01 Dec 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 713 41,894 0 28 May 2020
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 52 315 0 10 Dec 2019
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery Samuel Kim Peter Y. Lu Srijon Mukherjee M. Gilbert Li Jing V. Ceperic Marin Soljacic 57 164 0 10 Dec 2019
Deep Learning for Symbolic Mathematics Guillaume Lample François Charton 3DGS 102 411 0 02 Dec 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 158 872 0 27 May 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 111 274 0 01 Oct 2018
Learning Equations for Extrapolation and Control Subham S. Sahoo Christoph H. Lampert Georg Martius 43 233 0 19 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 469 14,302 0 02 Dec 2016
Extrapolation and learning equations Georg Martius Christoph H. Lampert 38 157 0 10 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015