ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.14131
  4. Cited By
SymbolicGPT: A Generative Transformer Model for Symbolic Regression

SymbolicGPT: A Generative Transformer Model for Symbolic Regression

27 June 2021
Mojtaba Valipour
Bowen You
Maysum Panju
A. Ghodsi
ArXivPDFHTML

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

18 / 18 papers shown
Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks
Hao Xu
Y. Chen
Rui Cao
Tianning Tang
Mengge Du
J. Li
Adrian H. Callaghan
Dongxiao Zhang
24
0
0
09 May 2025
UniSymNet: A Unified Symbolic Network Guided by Transformer
UniSymNet: A Unified Symbolic Network Guided by Transformer
Xinxin Li
Juan Zhang
Da Li
Xingyu Liu
Jin Xu
Junping Yin
29
0
0
09 May 2025
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
Amanda Bertschinger
James P. Bagrow
Joshua Bongard
76
1
0
24 Feb 2025
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
Samiha Sharlin
Tyler R. Josephson
ReLM
LLMAG
LRM
40
1
0
22 Oct 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic
  Programming
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
Yousef A. Radwan
G. Kronberger
Stephan M. Winkler
OffRL
51
4
0
05 Jun 2024
ISR: Invertible Symbolic Regression
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
43
0
0
10 May 2024
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for
  Symbolic Regression
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
Min Wu
Weijun Li
Lina Yu
Wenqiang Li
Jingyi Liu
Yanjie Li
Meilan Hao
15
1
0
25 Jan 2024
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
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
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Tim Schneider
A. Totounferoush
Wolfgang Nowak
Steffen Staab
13
0
0
14 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY
  Estimation
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
Tony Tohme
Mohsen Sadr
K. Youcef-Toumi
N. Hadjiconstantinou
30
3
0
07 Jun 2023
Priors for symbolic regression
Priors for symbolic regression
Deaglan J. Bartlett
Harry Desmond
Pedro G. Ferreira
29
5
0
13 Apr 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Pierre-Alexandre Kamienny
Guillaume Lample
Sylvain Lamprier
M. Virgolin
21
25
0
22 Feb 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review
Interpretable Scientific Discovery with Symbolic Regression: A Review
N. Makke
S. Chawla
22
92
0
20 Nov 2022
Discovering ordinary differential equations that govern time-series
Discovering ordinary differential equations that govern time-series
Soren Becker
M. Klein
Alexander Neitz
Giambattista Parascandolo
Niki Kilbertus
AI4TS
19
4
0
05 Nov 2022
Physics Informed Symbolic Networks
Physics Informed Symbolic Networks
Ritam Majumdar
Vishal Sudam Jadhav
A. Deodhar
Shirish S. Karande
L. Vig
Venkataramana Runkana
PINN
16
0
0
11 Jul 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics
  with Machine Learning
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning
Abdulhakim Alnuqaydan
S. Gleyzer
Harrison B. Prosper
16
14
0
17 Jun 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
Towards Learning Universal Hyperparameter Optimizers with Transformers
Yutian Chen
Xingyou Song
Chansoo Lee
Z. Wang
Qiuyi Zhang
...
Greg Kochanski
Arnaud Doucet
MarcÁurelio Ranzato
Sagi Perel
Nando de Freitas
24
63
0
26 May 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016
1