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Informed Equation Learning

Informed Equation Learning

13 May 2021
M. Werner
Andrej Junginger
Philipp Hennig
Georg Martius
ArXiv (abs)PDFHTML

Papers citing "Informed Equation Learning"

8 / 8 papers shown
Title
Univariate Skeleton Prediction in Multivariate Systems Using
  Transformers
Univariate Skeleton Prediction in Multivariate Systems Using Transformers
Giorgio Morales
John W. Sheppard
71
1
0
25 Jun 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression
Ho Fung Tsoi
Vladimir Loncar
S. Dasu
Philip C. Harris
235
4
0
18 Jan 2024
Simultaneous identification of models and parameters of scientific
  simulators
Simultaneous identification of models and parameters of scientific simulators
Cornelius Schroder
Jakob H. Macke
104
4
0
24 May 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network
  Approach to Symbolic Regression
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression
Jiří Kubalík
Erik Derner
Robert Babuška
69
12
0
01 Feb 2023
Symbolic expression generation via Variational Auto-Encoder
Symbolic expression generation via Variational Auto-Encoder
Sergei Popov
Mikhail Lazarev
V. Belavin
D. Derkach
Andrey Ustyuzhanin
DRL
72
5
0
15 Jan 2023
CoNSoLe: Convex Neural Symbolic Learning
CoNSoLe: Convex Neural Symbolic Learning
Haoran Li
Yang Weng
Hanghang Tong
86
9
0
01 Jun 2022
SymFormer: End-to-end symbolic regression using transformer-based
  architecture
SymFormer: End-to-end symbolic regression using transformer-based architecture
Martin Vastl
Jonáš Kulhánek
Jiří Kubalík
Erik Derner
Robert Babuška
114
51
0
31 May 2022
Contemporary Symbolic Regression Methods and their Relative Performance
Contemporary Symbolic Regression Methods and their Relative Performance
William La Cava
Patryk Orzechowski
Bogdan Burlacu
Fabrício Olivetti de Francca
M. Virgolin
Ying Jin
M. Kommenda
J. Moore
207
263
0
29 Jul 2021
1