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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
Reconstructing $S$ -matrix Phases with Machine Learning Aurélien Dersy M. Schwartz A. Zhiboedov 48 5 0 18 Aug 2023
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos Caroline Silva A. Sobral A. Vacavant T. Bouwmans José A. M. Felippe De Souza 29 0 0 11 Aug 2023
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables Javier Orera-Echeverria J. Ayensa-Jiménez Manuel Doblaré 51 1 0 07 Aug 2023
Exploring how a Generative AI interprets music G. Barenboim L. Debbio J. Hirn V. Sanz MGen 58 4 0 31 Jul 2023
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression N. Haut W. Banzhaf B. Punch 51 2 0 31 Jul 2023
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization Andrei Ivanov Stefan Maria Ailuro 35 1 0 30 Jul 2023
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions B. Bahmani H. S. Suh WaiChing Sun 57 17 0 24 Jul 2023
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression Zhen Zhang Zongren Zou E. Kuhl George Karniadakis 68 43 0 16 Jul 2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms Qi Liu Zhengze Gong Zhenya Huang Chuanren Liu Hengshu Zhu Zhi Li Enhong Chen Hui Xiong 54 1 0 14 Jul 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks S. Bishnoi Ravinder Bhattoo J. Jayadeva Sayan Ranu N. M. A. Krishnan PINN AI4CE 70 2 0 11 Jul 2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 68 0 0 14 Jun 2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges Karan Jakhar Yifei Guan R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh AI4Cl AI4CE 75 16 0 08 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 78 3 0 07 Jun 2023
Using generative AI to investigate medical imagery models and datasets Oran Lang Doron Stupp I. Traynis Heather Cole-Lewis Chloe R. Bennett ... Avinatan Hassidim Yossi Matias Yun-Hui Liu N. Hammel Boris Babenko MedIm 119 25 0 01 Jun 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health J. J. Schnur Nitesh Chawla 60 5 0 31 May 2023
Symbolic Regression via Control Variable Genetic Programming Nan Jiang Yexiang Xue 61 10 0 25 May 2023
RSRM: Reinforcement Symbolic Regression Machine Yilong Xu Yang Liu Haoqin Sun 50 4 0 24 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 95 7 0 23 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data Elham Kiyani K. Shukla George Karniadakis M. Karttunen 73 22 0 18 May 2023
Active Learning in Symbolic Regression with Physical Constraints Jorge Medina Andrew D. White 75 3 0 17 May 2023
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning R. Dutta Qinchen Wang Ankur Singh Dhruv Kumarjiguda Xiaoli Li Senthilnath Jayavelu 36 2 0 12 May 2023
Pseudo-Hamiltonian system identification Sigurd Holmsen Sølve Eidnes S. Riemer-Sørensen 109 4 0 09 May 2023
Explaining dark matter halo density profiles with neural networks Luisa Lucie-Smith H. Peiris A. Pontzen 82 5 0 04 May 2023
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability Ziming Liu Eric Gan Max Tegmark 77 40 0 04 May 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato Jannis Brugger Sašo Džeroski Ross King 90 12 0 03 May 2023
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 108 42 0 02 May 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 146 8 0 25 Apr 2023
Automatically identifying ordinary differential equations from data Kevin Egan Weizhen Li Rui Carvalho 35 2 0 21 Apr 2023
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 75 15 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 77 3 0 18 Apr 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 36 5 0 14 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 72 6 0 13 Apr 2023
Machine learning for discovering laws of nature Lizhi Xin Kevin Xin H. Xin AI4CE 48 0 0 18 Mar 2023
Symbolic Regression for PDEs using Pruned Differentiable Programs Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande Lovekesh Vig Venkataramana Runkana PINN AI4CE 21 5 0 13 Mar 2023
Transformer-based Planning for Symbolic Regression Parshin Shojaee Kazem Meidani A. Farimani Chandan K. Reddy 109 46 0 13 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 76 83 0 06 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 139 92 0 23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 109 32 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 45 2 0 21 Feb 2023
Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Mežnar Jannis Brugger L. Todorovski 75 13 0 20 Feb 2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction Wang Zhang Tsui-Wei Weng Subhro Das Alexandre Megretski Lucani E. Daniel Lam M. Nguyen PINN 101 3 0 11 Feb 2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions Mahed Abroshan Saumitra Mishra Mohammad Mahdi Khalili 72 4 0 09 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 46 0 0 05 Feb 2023
Benchmarking sparse system identification with low-dimensional chaos A. Kaptanoglu Lanyue Zhang Zachary G. Nicolaou Urban Fasel Steven L. Brunton 101 24 0 04 Feb 2023
Oracle-Preserving Latent Flows Alexander Roman Roy T. Forestano Konstantin T. Matchev Katia Matcheva Eyup B. Unlu DRL 129 5 0 02 Feb 2023
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
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System Charles Fox Neil Tran Nikki Nacion Samiha Sharlin Tyler R. Josephson 120 3 0 27 Jan 2023
Hamiltonian Neural Networks with Automatic Symmetry Detection Eva Dierkes Christian Offen Sina Ober-Blobaum K. Flaßkamp 96 9 0 19 Jan 2023
Symbolic expression generation via Variational Auto-Encoder Sergei Popov Mikhail Lazarev V. Belavin D. Derkach Andrey Ustyuzhanin DRL 71 5 0 15 Jan 2023