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Symbolic regression outperforms other models for small data sets
v1v2v3 (latest)

Symbolic regression outperforms other models for small data sets

28 March 2021
Casper Wilstrup
Jaan Kasak
ArXiv (abs)PDFHTML

Papers citing "Symbolic regression outperforms other models for small data sets"

10 / 10 papers shown
Title
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression
Jiří Kubalík
Robert Babuška
70
0
0
23 Apr 2025
Generalizing the SINDy approach with nested neural networks
Generalizing the SINDy approach with nested neural networks
Camilla Fiorini
Clément Flint
Louis Fostier
Emmanuel Franck
Reyhaneh Hashemi
Victor Michel-Dansac
Wassim Tenachi
168
2
0
28 Jan 2025
An Efficient and Generalizable Symbolic Regression Method for Time
  Series Analysis
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis
Yi Xie
Tianyu Qiu
Yun Xiong
Xiuqi Huang
Xiaofeng Gao
Chao Chen
AI4TS
98
2
0
06 Sep 2024
Hyperdimensional computing: a fast, robust and interpretable paradigm
  for biological data
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
Michiel Stock
Dimitri Boeckaerts
Pieter Dewulf
S. Taelman
Maxime Van Haeverbeke
W. Criekinge
B. De Baets
70
3
0
27 Feb 2024
AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box
  Identification
AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification
Nazanin Ahmadi Daryakenari
Mario De Florio
K. Shukla
George Karniadakis
99
34
0
29 Sep 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of
  Human Health
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health
J. J. Schnur
Nitesh Chawla
60
5
0
31 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
What can we Learn by Predicting Accuracy?
What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix
Benjamin Chamand
62
4
0
02 Aug 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
Augmenting astrophysical scaling relations with machine learning:
  application to reducing the Sunyaev-Zeldovich flux-mass scatter
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter
D. Wadekar
L. Thiele
F. Villaescusa-Navarro
J. Hill
M. Cranmer
D. Spergel
N. Battaglia
D. Anglés-Alcázar
L. Hernquist
S. Ho
90
12
0
04 Jan 2022
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