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AI Feynman: a Physics-Inspired Method for Symbolic Regression

27 May 2019

Papers citing "AI Feynman: a Physics-Inspired Method for Symbolic Regression"

50 / 344 papers shown

Title
General Automatic Solution Generation of Social Problems Tong Niu Haoyu Huang Yu Du Weihao Zhang Luping Shi Rong Zhao 42 0 0 25 Jan 2024
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression Siyu Lou Chengchun Liu Yuntian Chen Fanyang Mo 10 1 0 25 Jan 2024
Symbolic Equation Solving via Reinforcement Learning Lennart Dabelow Masahito Ueda 82 2 0 24 Jan 2024
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 91 9 0 24 Jan 2024
Exploring the Truth and Beauty of Theory Landscapes with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner 76 2 0 21 Jan 2024
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
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework Tianhao Chen Pengbo Xu Haibiao Zheng AI4CE 83 4 0 18 Jan 2024
Learning effective good variables from physical data Giulio Barletta G. Trezza E. Chiavazzo 58 3 0 10 Jan 2024
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients S. J. Wetzel 105 3 0 10 Jan 2024
Deep Generative Symbolic Regression Samuel Holt Zhaozhi Qian M. Schaar 66 31 0 30 Dec 2023
A Mathematical Guide to Operator Learning Nicolas Boullé Alex Townsend 93 47 0 22 Dec 2023
AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression Mario De Florio Ioannis G. Kevrekidis George Karniadakis 96 17 0 21 Dec 2023
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 61 0 0 19 Dec 2023
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 67 1 0 19 Dec 2023
Position Paper on Materials Design -- A Modern Approach Willi Großmann Sebastian Eilermann Tim Rensmeyer Artur Liebert Michael Hohmann Christian Wittke Oliver Niggemann 64 2 0 18 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 129 4 0 18 Dec 2023
A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning Zi-Yu Khoo Jonathan Sze Choong Low Stéphane Bressan ELM 52 0 0 15 Dec 2023
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman Zi-Yu Khoo A. Yang Jonathan Sze Choong Low S. Bressan 87 2 0 15 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 68 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 49 3 0 07 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 72 0 0 06 Dec 2023
Class Symbolic Regression: Gotta Fit Ém All Wassim Tenachi Rodrigo Ibata Thibaut L. François F. Diakogiannis 87 5 0 04 Dec 2023
Symbolic Learning for Material Discovery Daniel Cunnington F. Cipcigan Rodrigo Neumann Barros Ferreira Jonathan Booth 39 1 0 30 Nov 2023
$Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$-elimination and Bayesian model selection$ Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$ -elimination and Bayesian model selection Daniel Nickelsen B. Bah 118 0 0 22 Nov 2023
Deep learning complete intersection Calabi-Yau manifolds Harold Erbin Riccardo Finotello 50 5 0 20 Nov 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 84 4 0 13 Nov 2023
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks Assaf Shmuel Oren Glickman Teddy Lazebnik 90 10 0 10 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo Rui Zhang Shaohui Peng Qi Yi Xingui Hu ... Zidong Du Xishan Zhang Ling Li Qi Guo Yunji Chen OffRL 68 7 0 02 Nov 2023
Seeking Truth and Beauty in Flavor Physics with Machine Learning Konstantin T. Matchev Katia Matcheva Pierre Ramond Sarunas Verner AI4CE 52 2 0 31 Oct 2023
Optimal Inflationary Potentials Tomás Sousa Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 78 4 0 25 Oct 2023
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes Jiaxu Cui Bing Sun Jiming Liu Bo Yang 51 1 0 25 Oct 2023
Machine learning in physics: a short guide F. A. Rodrigues PINN AI4CE 52 7 0 16 Oct 2023
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 94 6 0 12 Oct 2023
Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus Simone Manti Alessandro Lucantonio AI4CE 65 4 0 10 Oct 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 105 25 0 09 Oct 2023
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 112 5 0 09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 141 10 0 08 Oct 2023
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics J. Fuhg Reese E. Jones N. Bouklas AI4CE 86 26 0 05 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training Kazem Meidani Parshin Shojaee Chandan K. Reddy A. Farimani 126 19 0 03 Oct 2023
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
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 118 0 0 27 Sep 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 74 6 0 24 Sep 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 82 4 0 18 Sep 2023
Racing Control Variable Genetic Programming for Symbolic Regression Nan Jiang Yexiang Xue 60 2 0 13 Sep 2023
Weak-PDE-LEARN: A Weak Form Based Approach to Discovering PDEs From Noisy, Limited Data R. Stephany Christopher Earls 59 4 0 09 Sep 2023
Inferring physical laws by artificial intelligence based causal models Jorawar Singh Kishor Bharti Arvind CML AI4CE 53 0 0 08 Sep 2023
Separable Hamiltonian Neural Networks Zi-Yu Khoo Dawen Wu Jonathan Sze Choong Low Stéphane Bressan 72 1 0 03 Sep 2023
Human Comprehensible Active Learning of Genome-Scale Metabolic Networks L. Ai Shishun Liang Wang-Zhou Dai Liam Hallett Stephen Muggleton Geoff S. Baldwin AI4CE 19 1 0 24 Aug 2023
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery Pongpisit Thanasutives Takashi Morita M. Numao Ken-ichi Fukui 85 2 0 20 Aug 2023
Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert Ryan Cory-Wright Cristina Cornelio S. Dash Bachir El Khadir L. Horesh 73 10 0 18 Aug 2023