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
Improving the efficiency of GP-GOMEA for higher-arity operators Thalea Schlender Mafalda Malafaia Tanja Alderliesten Peter A. N. Bosman 23 3 0 15 Feb 2024
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
Multi-View Symbolic Regression E. Russeil Fabrício Olivetti de França K. Malanchev Bogdan Burlacu E. Ishida Marion Leroux Clément Michelin Guillaume Moinard E. Gangler 14 1 0 06 Feb 2024
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression Min Wu Weijun Li Lina Yu Wenqiang Li Jingyi Liu Yanjie Li Meilan Hao 20 1 0 25 Jan 2024
DALex: Lexicase-like Selection via Diverse Aggregation Andrew Ni Lijie Ding Lee Spector 54 5 0 23 Jan 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression Ho Fung Tsoi Vladimir Loncar S. Dasu Philip C. Harris 39 3 0 18 Jan 2024
Deep Generative Symbolic Regression Samuel Holt Zhaozhi Qian M. Schaar 23 28 0 30 Dec 2023
Report of the DOE/NSF Workshop on Correctness in Scientific Computing, June 2023, Orlando, FL Maya Gokhale Ganesh Gopalakrishnan Jackson Mayo Santosh Nagarakatte Cindy Rubio-González Stephen F. Siegel 39 3 0 25 Dec 2023
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 24 1 0 19 Dec 2023
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations Nisal Ranasinghe Damith A. Senanayake Sachith Seneviratne Malin Premaratne Saman K. Halgamuge 25 3 0 18 Dec 2023
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions Esteban Real Yao Chen Mirko Rossini Connal de Souza Manav Garg Akhil Verghese Moritz Firsching Quoc V. Le E. D. Cubuk David H. Park 19 1 0 13 Dec 2023
A Transformer Model for Symbolic Regression towards Scientific Discovery Florian Lalande Yoshitomo Matsubara Naoya Chiba Tatsunori Taniai Ryo Igarashi Yoshitala Ushiku 23 2 0 07 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 37 0 0 06 Dec 2023
Explainable Fraud Detection with Deep Symbolic Classification Samantha Visbeek Erman Acar Floris den Hengst FaML 19 3 0 01 Dec 2023
GFN-SR: Symbolic Regression with Generative Flow Networks Sida Li Ioana Marinescu Sebastian Musslick 24 3 0 01 Dec 2023
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks Assaf Shmuel Oren Glickman Teddy Lazebnik 43 9 0 10 Nov 2023
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
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 43 4 0 09 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training Kazem Meidani Parshin Shojaee Chandan K. Reddy A. Farimani 18 18 0 03 Oct 2023
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data Wenqiang Li Weijun Li Lina Yu Min Wu Linjun Sun Jingyi Liu Yanjie Li Shu Wei Yusong Deng Meilan Hao 21 3 0 24 Sep 2023
Boolformer: Symbolic Regression of Logic Functions with Transformers Stéphane dÁscoli Samy Bengio Josh Susskind Emmanuel Abbe 19 5 0 21 Sep 2023
Racing Control Variable Genetic Programming for Symbolic Regression Nan Jiang Yexiang Xue 22 2 0 13 Sep 2023
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression N. Haut W. Banzhaf B. Punch 23 2 0 31 Jul 2023
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions B. Bahmani H. S. Suh WaiChing Sun 23 17 0 24 Jul 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 32 14 0 24 Jul 2023
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation Du Nguyen Duy M. Affenzeller Ramin Nikzad‐Langerodi 41 3 0 22 Jul 2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 23 0 0 14 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health J. J. Schnur Nitesh V. Chawla 30 5 0 31 May 2023
Symbolic Regression via Control Variable Genetic Programming Nan Jiang Yexiang Xue 14 8 0 25 May 2023
Probabilistic Lexicase Selection Lijie Ding Edward R. Pantridge Lee Spector 25 7 0 19 May 2023
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 41 39 0 02 May 2023
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 33 14 0 20 Apr 2023
Differentiable Genetic Programming for High-dimensional Symbolic Regression Peng Zeng Xiaotian Song Andrew Lensen Yuwei Ou Yanan Sun Mengjie Zhang Jiancheng Lv 34 2 0 18 Apr 2023
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition F. O. França M. Virgolin M. Kommenda M. Majumder M. Cranmer ... Bogdan Burlacu Jaan Kasak Meera Machado Casper Wilstrup William La Cava 16 10 0 03 Apr 2023
Achieving Occam's Razor: Deep Learning for Optimal Model Reduction Botond B Antal Anthony G. Chesebro H. Strey Lilianne Mujica-Parodi Corey Weistuch 27 2 0 24 Mar 2023
Transformer-based Planning for Symbolic Regression Parshin Shojaee Kazem Meidani A. Farimani Chandan K. Reddy 47 33 0 13 Mar 2023
Language Model Crossover: Variation through Few-Shot Prompting Elliot Meyerson M. Nelson Herbie Bradley Adam Gaier Arash Moradi Amy K. Hoover Joel Lehman VLM 34 79 0 23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 34 25 0 22 Feb 2023
Online Symbolic Regression with Informative Query Pengwei Jin Di Huang Rui Zhang Xingui Hu Ziyuan Nan Zidong Du Qi Guo Yunji Chen 21 2 0 21 Feb 2023
Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems Alina Geiger Dominik Sobania Franz Rothlauf 35 8 0 08 Feb 2023
Benchmarking sparse system identification with low-dimensional chaos A. Kaptanoglu Lanyue Zhang Zachary G. Nicolaou Urban Fasel Steven L. Brunton 42 20 0 04 Feb 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Sai Wang L. Ni H. Shum AIFin 19 8 0 13 Dec 2022
Exhaustive Symbolic Regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 20 26 0 21 Nov 2022
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke S. Chawla 35 93 0 20 Nov 2022
FACT: Learning Governing Abstractions Behind Integer Sequences Peter Belcak Ard Kastrati Flavio Schenker Roger Wattenhofer 38 5 0 20 Sep 2022
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles F. O. França G. Kronberger 63 1 0 14 Sep 2022
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge Liron Simon Keren A. Liberzon Teddy Lazebnik 25 81 0 13 Sep 2022
What can we Learn by Predicting Accuracy? Olivier Risser-Maroix Benjamin Chamand 27 4 0 02 Aug 2022
Symbolic Regression is NP-hard M. Virgolin S. Pissis 67 61 0 03 Jul 2022