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Deep Learning and Symbolic Regression for Discovering Parametric
  Equations
v1v2 (latest)

Deep Learning and Symbolic Regression for Discovering Parametric Equations

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
1 July 2022
Michael Zhang
Samuel Kim
Peter Y. Lu
M. Soljavcić
ArXiv (abs)PDFHTMLGithub (11★)

Papers citing "Deep Learning and Symbolic Regression for Discovering Parametric Equations"

15 / 15 papers shown
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
Vivan Doshi
107
1
0
30 Oct 2025
Data-Efficient Symbolic Regression via Foundation Model Distillation
Data-Efficient Symbolic Regression via Foundation Model Distillation
Wangyang Ying
Jinghan Zhang
Haoyue Bai
Nanxu Gong
Xinyuan Wang
Kunpeng Liu
Chandan K. Reddy
Yanjie Fu
145
1
0
27 Aug 2025
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
Mansooreh Montazerin
Majd Al Aawar
Antonio Ortega
Ajitesh Srivastava
303
0
0
09 Jun 2025
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
Mingning Guo
Mengwei Wu
Jiarun He
Shaoxian Li
Haifeng Li
Chao Tao
336
7
0
23 May 2025
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
Wangyang Ying
Haoyue Bai
Nanxu Gong
Xinyuan Wang
Sixun Dong
Haifeng Chen
Yanjie Fu
350
5
0
21 May 2025
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equations
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equationsThe Physics of Fluids (Phys. Fluids), 2025
Boqian Zhang
Juanmian Lei
Guoyou Sun
Shuaibing Ding
Jian Guo
426
2
0
10 Apr 2025
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic RegressionAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2025
Luigi Rovito
Marco Virgolin
322
1
0
08 Apr 2025
[RETRACTED]Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks
[RETRACTED]Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression NetworksAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2024
Amanda Bertschinger
James P. Bagrow
Joshua Bongard
463
3
0
24 Feb 2025
Training Stiff Neural Ordinary Differential Equations with Explicit
  Exponential Integration Methods
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration MethodsChaos (Chaos), 2024
Colby Fronk
Linda R. Petzold
411
7
0
02 Dec 2024
Training Stiff Neural Ordinary Differential Equations with Implicit
  Single-Step Methods
Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step MethodsChaos (Chaos), 2024
Colby Fronk
Linda R. Petzold
292
14
0
08 Oct 2024
A Personalised Learning Tool for Physics Undergraduate Students Built On
  a Large Language Model for Symbolic Regression
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression
Yufan Zhu
Zi-Yu Khoo
Jonathan Sze Choong Low
Stephane Bressan
AI4Ed
371
4
0
17 Jun 2024
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural
  Networks
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks
Feng-Lei Fan
Meng Wang
Hang Dong
Jianwei Ma
Tieyong Zeng
280
2
0
03 May 2024
Bayesian polynomial neural networks and polynomial neural ordinary
  differential equations
Bayesian polynomial neural networks and polynomial neural ordinary differential equations
Colby Fronk
Jaewoong Yun
Prashant Singh
Linda R. Petzold
BDL
260
9
0
17 Aug 2023
Symbolic Regression for PDEs using Pruned Differentiable Programs
Symbolic Regression for PDEs using Pruned Differentiable Programs
Ritam Majumdar
Vishal Sudam Jadhav
A. Deodhar
Shirish S. Karande
Lovekesh Vig
Venkataramana Runkana
PINNAI4CE
183
9
0
13 Mar 2023
GSR: A Generalized Symbolic Regression Approach
GSR: A Generalized Symbolic Regression Approach
Tony Tohme
Dehong Liu
K. Youcef-Toumi
329
18
0
31 May 2022
1
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