Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2111.00053
Cited By
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
29 October 2021
T. Nathan Mundhenk
Mikel Landajuela
Ruben Glatt
Claudio P. Santiago
D. Faissol
Brenden K. Petersen
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Symbolic Regression via Neural-Guided Genetic Programming Population Seeding"
50 / 52 papers shown
Title
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
29
0
0
09 May 2025
Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
Xian Chen
R. Qu
Jing Dong
Ruibin Bai
Yaochu Jin
OffRL
29
0
0
10 Apr 2025
Grammar-based Ordinary Differential Equation Discovery
Karin L. Yu
Eleni Chatzi
Georgios Kissas
38
0
0
03 Apr 2025
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
75
0
0
30 Mar 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
J.-P. Bruneton
43
0
0
24 Mar 2025
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
Sikai Huang
Yixin Berry Wen
Tara Adusumilli
Kusum Choudhary
Haizhao Yang
52
0
0
13 Mar 2025
ViSymRe: Vision-guided Multimodal Symbolic Regression
Da Li
Junping Yin
Jin Xu
Xinxin Li
Juan Zhang
75
1
0
15 Dec 2024
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
Xin Zhang
Victor S. Sheng
AI4TS
34
4
0
07 Nov 2024
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
Integrating Fuzzy Logic into Deep Symbolic Regression
Wout Gerdes
Erman Acar
24
0
0
01 Nov 2024
Operator Feature Neural Network for Symbolic Regression
Yusong Deng
Min Wu
Lina Yu
Jingyi Liu
Shu Wei
Yanjie Li
Weijun Li
21
0
0
14 Aug 2024
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
Hao Shi
Weili Song
Xinting Zhang
Jiahe Shi
Cuicui Luo
Xiang Ao
Hamid Arian
Luis Seco
21
1
0
26 Jun 2024
Alpha
2
\text{Alpha}^2
Alpha
2
: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning
Feng Xu
Yan-Chao Yin
Xinyu Zhang
Tianyuan Liu
Shengyi Jiang
Zongzhang Zhang
18
0
0
24 Jun 2024
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
Jingyi Liu
Yanjie Li
Lina Yu
Min Wu
Weijun Li
Wenqiang Li
Meilan Hao
Yusong Deng
Shu Wei
39
0
0
21 Jun 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
Chris Xiaoxuan Lu
Samuel Holt
Claudio Fanconi
Alex J. Chan
Jakob Foerster
M. Schaar
R. T. Lange
OffRL
32
14
0
12 Jun 2024
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jingyi Liu
Wenqiang Li
Shu Wei
Yusong Deng
OffRL
29
3
0
08 Jun 2024
Accelerating evolutionary exploration through language model-based transfer learning
M. Reissmann
Yuan Fang
Andrew S. H. Ooi
R. D. Sandberg
34
2
0
07 Jun 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
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
Zhixing Huang
Yi Mei
Fangfang Zhang
Mengjie Zhang
Wolfgang Banzhaf
AI4CE
16
0
0
23 May 2024
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Pingchuan Ma
Tsun-Hsuan Wang
Minghao Guo
Zhiqing Sun
Joshua B. Tenenbaum
Daniela Rus
Chuang Gan
Wojciech Matusik
AI4CE
37
26
0
16 May 2024
ISR: Invertible Symbolic Regression
Tony Tohme
M. J. Khojasteh
Mohsen Sadr
Florian Meyer
Kamal Youcef-Toumi
43
0
0
10 May 2024
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target
Zi-Rui Zhang
Yang Liu
Hao-Lun Sun
23
0
0
27 Apr 2024
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jingyi Liu
Wenqiang Li
Meilan Hao
Shu Wei
Yusong Deng
32
2
0
09 Apr 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Andrew Holliday
A. El-geneidy
Gregory Dudek
27
0
0
08 Apr 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday
Gregory Dudek
46
0
0
27 Feb 2024
FGeo-TP: A Language Model-Enhanced Solver for Geometry Problems
Yiming He
Jia Zou
Xiaokai Zhang
Na Zhu
Tuo Leng
LRM
18
1
0
14 Feb 2024
Guided Evolution with Binary Discriminators for ML Program Search
John D. Co-Reyes
Yingjie Miao
George Tucker
Aleksandra Faust
Esteban Real
34
0
0
08 Feb 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
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jingyi Liu
Wenqiang Li
Meilan Hao
Shu Wei
Yusong Deng
43
9
0
24 Jan 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
Pengyi Li
Jianye Hao
Hongyao Tang
Xian Fu
Yan Zheng
Ke Tang
29
9
0
22 Jan 2024
Explainable Fraud Detection with Deep Symbolic Classification
Samantha Visbeek
Erman Acar
Floris den Hengst
FaML
14
3
0
01 Dec 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations
Yanjie Li
Weijun Li
Lina Yu
Min Wu
Jinyi Liu
Wenqiang Li
Meilan Hao
Shu Wei
Yusong Deng
12
4
0
13 Nov 2023
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
B. Bahmani
H. S. Suh
WaiChing Sun
18
17
0
24 Jul 2023
Predicting Ordinary Differential Equations with Transformers
Soren Becker
M. Klein
Alexander Neitz
Giambattista Parascandolo
Niki Kilbertus
27
14
0
24 Jul 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
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
Shuo Yu
Hongyan Xue
Xiang Ao
Feiyang Pan
Jia He
Dandan Tu
Qing He
AIFin
22
10
0
25 May 2023
RSRM: Reinforcement Symbolic Regression Machine
Yilong Xu
Yang Liu
Haoqin Sun
11
3
0
24 May 2023
Controllable Neural Symbolic Regression
Tommaso Bendinelli
Luca Biggio
Pierre-Alexandre Kamienny
23
14
0
20 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
Online Symbolic Regression with Informative Query
Pengwei Jin
Di Huang
Rui Zhang
Xingui Hu
Ziyuan Nan
Zidong Du
Qi Guo
Yunji Chen
16
2
0
21 Feb 2023
Efficient Generator of Mathematical Expressions for Symbolic Regression
Sebastian Mežnar
S. Džeroski
L. Todorovski
22
12
0
20 Feb 2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions
Mahed Abroshan
Saumitra Mishra
Mohammad Mahdi Khalili
12
4
0
09 Feb 2023
Symbolic expression generation via Variational Auto-Encoder
Sergei Popov
Mikhail Lazarev
V. Belavin
D. Derkach
Andrey Ustyuzhanin
DRL
26
5
0
15 Jan 2023
Interpretable Scientific Discovery with Symbolic Regression: A Review
N. Makke
S. Chawla
22
92
0
20 Nov 2022
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
Mengge Du
Yuntian Chen
Dong-juan Zhang
28
0
0
04 Oct 2022
What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix
Benjamin Chamand
22
4
0
02 Aug 2022
CoNSoLe: Convex Neural Symbolic Learning
Haoran Li
Yang Weng
Hanghang Tong
16
9
0
01 Jun 2022
SymFormer: End-to-end symbolic regression using transformer-based architecture
Martin Vastl
Jonáš Kulhánek
Jiří Kubalík
Erik Derner
Robert Babuška
22
43
0
31 May 2022
GSR: A Generalized Symbolic Regression Approach
Tony Tohme
Dehong Liu
K. Youcef-Toumi
51
14
0
31 May 2022
Taylor Genetic Programming for Symbolic Regression
Baihe He
Qiang Lu
Qingyun Yang
Jake Luo
Zhiguang Wang
24
29
0
28 Apr 2022
1
2
Next