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2204.10532
Cited By
End-to-end symbolic regression with transformers
22 April 2022
Pierre-Alexandre Kamienny
Stéphane dÁscoli
Guillaume Lample
Franccois Charton
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Papers citing
"End-to-end symbolic regression with transformers"
29 / 29 papers shown
Title
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
Identifying Unknown Stochastic Dynamics via Finite expression methods
Senwei Liang
Chunmei Wang
Xingjian Xu
21
0
0
09 Apr 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
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Haohan Zou
Jie Feng
Hao Zhao
Yuanyuan Shi
90
0
0
04 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
68
1
0
28 Jan 2025
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Zihan Yu
Jingtao Ding
Yong Li
37
0
0
06 Nov 2024
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
İlker Işık
R. G. Cinbis
Ebru Aydin Gol
26
0
0
22 Oct 2024
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
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
Yuxuan Liu
Jingmin Sun
Xinjie He
Griffin Pinney
Zecheng Zhang
Hayden Schaeffer
AI4CE
35
5
0
15 Sep 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
Zakaria Patel
S. J. Wetzel
18
2
0
09 Sep 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
Yousef A. Radwan
G. Kronberger
Stephan M. Winkler
OffRL
54
4
0
05 Jun 2024
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
43
0
0
10 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
37
15
0
29 Apr 2024
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
Vertical Symbolic Regression
Nan Jiang
Md Nasim
Yexiang Xue
19
1
0
19 Dec 2023
Physical Symbolic Optimization
Wassim Tenachi
Rodrigo Ibata
F. Diakogiannis
35
0
0
06 Dec 2023
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
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
Philipp Scholl
Katharina Bieker
Hillary Hauger
Gitta Kutyniok
38
4
0
09 Oct 2023
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
Tony Tohme
Mohsen Sadr
K. Youcef-Toumi
N. Hadjiconstantinou
30
3
0
07 Jun 2023
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
Pierre-Alexandre Kamienny
Guillaume Lample
Sylvain Lamprier
M. Virgolin
21
25
0
22 Feb 2023
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles
Roy T. Forestano
Konstantin T. Matchev
Katia Matcheva
Alexander Roman
Eyup B. Unlu
Sarunas Verner
AI4CE
28
21
0
13 Jan 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review
N. Makke
S. Chawla
22
92
0
20 Nov 2022
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression
Zhongtian Dong
K. Kong
Konstantin T. Matchev
Katia Matcheva
40
13
0
15 Nov 2022
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
Symbolic Distillation for Learned TCP Congestion Control
S. Sharan
Wenqing Zheng
Kuo-Feng Hsu
Jiarong Xing
Ang Chen
Zhangyang Wang
15
5
0
24 Oct 2022
FACT: Learning Governing Abstractions Behind Integer Sequences
Peter Belcak
Ard Kastrati
Flavio Schenker
Roger Wattenhofer
31
5
0
20 Sep 2022
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zhangyang Wang
W. Yin
30
225
0
23 Mar 2021
1