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Interpretable Scientific Discovery with Symbolic Regression: A Review

Interpretable Scientific Discovery with Symbolic Regression: A Review

20 November 2022
N. Makke
S. Chawla
ArXivPDFHTML

Papers citing "Interpretable Scientific Discovery with Symbolic Regression: A Review"

40 / 40 papers shown
Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks
Hao Xu
Y. Chen
Rui Cao
Tianning Tang
Mengge Du
Jiacheng Li
Adrian H. Callaghan
Dongxiao Zhang
29
0
0
09 May 2025
Call for Action: towards the next generation of symbolic regression benchmark
Call for Action: towards the next generation of symbolic regression benchmark
Guilherme Seidyo Imai Aldeia
Hengzhe Zhang
Geoffrey Bomarito
Miles Cranmer
Alcides Fonseca
Bogdan Burlacu
William La Cava
F. O. França
22
0
0
06 May 2025
Seeing Through Risk: A Symbolic Approximation of Prospect Theory
Seeing Through Risk: A Symbolic Approximation of Prospect Theory
Ali Arslan Yousaf
Umair Rehman
Muhammad Umair Danish
37
0
0
20 Apr 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 equations
Boqian Zhang
Juanmian Lei
Guoyou Sun
Shuaibing Ding
Jian Guo
38
0
0
10 Apr 2025
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives
Xiaokun Liu
Sayedmohammadreza Rastegari
Yijun Huang
Sxe Chang Cheong
Weikang Liu
...
Sina Tabakhi
Xianyuan Liu
Zheqing Zhu
Wei Sang
Haiping Lu
29
0
0
04 Apr 2025
Interpretable Machine Learning in Physics: A Review
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
80
0
0
30 Mar 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints
J.-P. Bruneton
51
0
0
24 Mar 2025
A Perspective on Symbolic Machine Learning in Physical Sciences
A Perspective on Symbolic Machine Learning in Physical Sciences
N. Makke
S. Chawla
AI4CE
66
1
0
25 Feb 2025
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
Utkarsh Mall
Cheng Perng Phoo
Mia Chiquier
Bharath Hariharan
Kavita Bala
Carl Vondrick
79
1
0
17 Feb 2025
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond
Madhav Muthyala
Farshud Sorourifar
You Peng
J. Paulson
50
1
0
05 Feb 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
76
1
0
28 Jan 2025
EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming
EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming
Lishuang Wang
Zhihong Wu
Kebin Sun
Zhuozhao Li
Ran Cheng
35
1
0
21 Jan 2025
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Mouad Elaarabi
Domenico Borzacchiello
Yves Le Guennec
Philippe Le Bot
Sebastien Comas-Cardona
80
0
0
20 Jan 2025
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression
N. Makke
S. Chawla
49
0
0
13 Jan 2025
Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models
Approximation and bounding techniques for the Fisher-Rao distances between parametric statistical models
Frank Nielsen
43
3
0
08 Jan 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications
AI-Powered Urban Transportation Digital Twin: Methods and Applications
Xuan Di
Yongjie Fu
Mehmet K.Turkcan
Mahshid Ghasemi
Zhaobin Mo
Chengbo Zang
Abhishek Adhikari
Z. Kostić
Gil Zussman
AI4CE
39
0
0
30 Dec 2024
Learning Interpretable Network Dynamics via Universal Neural Symbolic
  Regression
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
Jiao Hu
Jiaxu Cui
Bo Yang
AI4CE
34
0
0
11 Nov 2024
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Zihan Yu
Jingtao Ding
Yong Li
42
0
0
06 Nov 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in
  Dynamical Systems Reconstruction
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
Manuel Brenner
Christoph Jurgen Hemmer
Zahra Monfared
Daniel Durstewitz
AI4CE
38
1
0
18 Oct 2024
Ab initio nonparametric variable selection for scalable Symbolic
  Regression with large $p$
Ab initio nonparametric variable selection for scalable Symbolic Regression with large ppp
Shengbin Ye
Meng Li
26
0
0
17 Oct 2024
Ranking Perspective for Tree-based Methods with Applications to Symbolic
  Feature Selection
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
Hengrui Luo
Meng Li
33
2
0
03 Oct 2024
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence
  Screening and Sparsifying Operator for Efficient and Interpretable Model
  Discovery
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery
Madhav Muthyala
Farshud Sorourifar
J. Paulson
40
2
0
02 Oct 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen
Yi Ding
Hiroe Miyake
Xiaojun Li
39
0
0
27 Sep 2024
Symbolic Regression with a Learned Concept Library
Symbolic Regression with a Learned Concept Library
Arya Grayeli
Atharva Sehgal
Omar Costilla-Reyes
Miles Cranmer
Swarat Chaudhuri
64
11
0
14 Sep 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
Zakaria Patel
S. J. Wetzel
23
2
0
09 Sep 2024
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
32
2
0
06 Sep 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
35
2
0
17 Jun 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic
  Programming
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
Yousef A. Radwan
G. Kronberger
Stephan M. Winkler
OffRL
56
4
0
05 Jun 2024
Discovering an interpretable mathematical expression for a full
  wind-turbine wake with artificial intelligence enhanced symbolic regression
Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression
Ding Wang
Yuntian Chen
Shiyi Chen
40
0
0
02 Jun 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
31
2
0
27 Feb 2024
Time Series Analysis in Compressor-Based Machines: A Survey
Time Series Analysis in Compressor-Based Machines: A Survey
Francesca Forbicini
Nicolò Oreste Pinciroli Vago
Piero Fraternali
AI4CE
32
0
0
27 Feb 2024
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner
K. Cvejoski
Ramses J. Sanchez
Ramsés J. Sánchez
AI4TS
AI4CE
18
3
0
12 Feb 2024
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive
  Symbolic Regression Framework
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework
Tianhao Chen
Pengbo Xu
Haibiao Zheng
AI4CE
26
4
0
18 Jan 2024
Closed-Form Interpretation of Neural Network Classifiers with Symbolic
  Regression Gradients
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients
S. J. Wetzel
36
3
0
10 Jan 2024
Celestial Machine Learning: Discovering the Planarity, Heliocentricity,
  and Orbital Equation of Mars with AI Feynman
Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman
Zi-Yu Khoo
Gokul Rajiv
Abel Yang
Jonathan Sze Choong Low
Stéphane Bressan
21
0
0
19 Dec 2023
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman
Zi-Yu Khoo
A. Yang
Jonathan Sze Choong Low
S. Bressan
41
2
0
15 Dec 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
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
Predicting Ordinary Differential Equations with Transformers
Predicting Ordinary Differential Equations with Transformers
Soren Becker
M. Klein
Alexander Neitz
Giambattista Parascandolo
Niki Kilbertus
29
14
0
24 Jul 2023
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning
  and Inductive Learning
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
Ziyan Luo
X. Si
LRM
26
0
0
02 May 2023
Symbolic Regression is NP-hard
Symbolic Regression is NP-hard
M. Virgolin
S. Pissis
67
61
0
03 Jul 2022
1