Contemporary Symbolic Regression Methods and their Relative Performance

29 July 2021

William La Cava

Patryk Orzechowski

Bogdan Burlacu

Fabrício Olivetti de Francca

Papers citing "Contemporary Symbolic Regression Methods and their Relative Performance"

50 / 118 papers shown

Title
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics Conor F. Hayes Felipe Leno Da Silva Jiachen Yang T. Nathan Mundhenk Chak Shing Lee ... Ahmet Can Solak Thomas A. Desautels D. Faissol Brenden K. Petersen Mikel Landajuela 12 0 0 16 May 2025
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks Thomas R. Harvey Fabian Ruehle Cristofero S. Fraser-Taliente James Halverson 31 0 0 12 May 2025
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 34 0 0 09 May 2025
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
Thinking Outside the Template with Modular GP-GOMEA Joe Harrison Peter A. N. Bosman Tanja Alderliesten 36 0 0 02 May 2025
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models Parshin Shojaee Ngoc-Hieu Nguyen Kazem Meidani A. Farimani Khoa D. Doan Chandan K. Reddy 31 1 0 14 Apr 2025
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming Roman Kalkreuth Fabricio Olivetti de França Julian Dierkes Marie Anastacio Anja Jankovic Zdenek Vasicek Holger Hoos 29 0 0 14 Apr 2025
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression Luigi Rovito Marco Virgolin 23 0 0 08 Apr 2025
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models Nisal Ranasinghe Damith A. Senanayake Saman K. Halgamuge 41 0 0 30 Mar 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints J.-P. Bruneton 51 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 57 0 0 13 Mar 2025
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 87 1 0 24 Feb 2025
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 Lishuang Wang Zhihong Wu Kebin Sun Zhuozhao Li Ran Cheng 35 1 0 21 Jan 2025
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization Fabricio Olivetti de Franca 55 3 0 03 Jan 2025
ViSymRe: Vision-guided Multimodal Symbolic Regression Da Li Junping Yin Jin Xu Xinxin Li Juan Zhang 85 1 0 15 Dec 2024
Improving Low-Fidelity Models of Li-ion Batteries via Hybrid Sparse Identification of Nonlinear Dynamics Samuel Filgueira da Silva M. F. Ozkan Faissal El Idrissi Prashanth Ramesh Marcello Canova 74 1 0 20 Nov 2024
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression Jiao Hu Jiaxu Cui Bo Yang AI4CE 36 0 0 11 Nov 2024
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length Zihan Yu Jingtao Ding Yong Li 44 0 0 06 Nov 2024
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models Kaustubh Kislay Shlok Singh Soham Joshi Rohan Dutta Jay Shim George Flint Kevin Zhu 29 0 0 29 Oct 2024
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
Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression Trees Edward Finkelstein 26 0 0 18 Oct 2024
Ab initio nonparametric variable selection for scalable Symbolic Regression with large $p$ Shengbin Ye Meng Li 28 0 0 17 Oct 2024
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 Madhav Muthyala Farshud Sorourifar J. Paulson 40 2 0 02 Oct 2024
Symbolic Regression with a Learned Concept Library Arya Grayeli Atharva Sehgal Omar Costilla-Reyes Miles Cranmer Swarat Chaudhuri 64 11 0 14 Sep 2024
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks Nisal Ranasinghe Yu Xia Sachith Seneviratne Saman K. Halgamuge 26 3 0 27 Aug 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 48 0 0 04 Aug 2024
Univariate Skeleton Prediction in Multivariate Systems Using Transformers Giorgio Morales John W. Sheppard 41 1 0 25 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 49 0 0 21 Jun 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall Niki van Stein David Walker Ting-Kuei Hu 39 0 0 12 Jun 2024
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients Zachary Bastiani Robert M. Kirby Jacob Hochhalter Shandian Zhe 40 3 0 10 Jun 2024
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 Ding Wang Yuntian Chen Shiyi Chen 40 0 0 02 Jun 2024
Shape Constraints in Symbolic Regression using Penalized Least Squares Viktor Martinek J. Reuter Ophelia Frotscher Sanaz Mostaghim Markus Richter Roland Herzog 38 2 0 31 May 2024
Unit-Aware Genetic Programming for the Development of Empirical Equations J. Reuter Viktor Martinek Roland Herzog Sanaz Mostaghim 46 2 0 29 May 2024
Symbolic Regression for Beyond the Standard Model Physics Shehu AbdusSalam Steve Abel M. Romão 32 6 0 28 May 2024
Sharpness-Aware Minimization in Genetic Programming I. Bakurov N. Haut Wolfgang Banzhaf 30 0 0 16 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 45 26 0 16 May 2024
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression Hengzhe Zhang Qi Chen Bing Xue Wolfgang Banzhaf Mengjie Zhang AAML 46 1 0 11 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 42 15 0 29 Apr 2024
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem Andrew Ni Lee Spector 37 0 0 19 Apr 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology Juan L. Gamella Jonas Peters Peter Buhlmann 80 8 0 17 Apr 2024
Minimum variance threshold for epsilon-lexicase selection Guilherme Seidyo Imai Aldeia F. O. D. França William La Cava 32 0 0 08 Apr 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França 37 10 0 08 Apr 2024
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing Guilherme Seidyo Imai Aldeia F. O. D. França William La Cava 30 2 0 08 Apr 2024
Deep Neural Network for Constraint Acquisition through Tailored Loss Function Eduardo Vyhmeister Rocio Paez Gabriel Gonzalez 35 0 0 04 Mar 2024
Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals E. Sijben Jeroen Jansen Peter A. N. Bosman Tanja Alderliesten 29 1 0 19 Feb 2024
MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data Mafalda Malafaia Thalea Schlender Peter A. N. Bosman Tanja Alderliesten 26 0 0 19 Feb 2024