AI Feynman: a Physics-Inspired Method for Symbolic Regression

27 May 2019

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

50 / 124 papers shown

Title
Compression, Regularity, Randomness and Emergent Structure: Rethinking Physical Complexity in the Data-Driven Era Nima Dehghani AI4CE 32 0 0 12 May 2025
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 31 0 0 09 May 2025
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Stefano Markidis Jonah Ekelund Luca Pennati Andong Hu Ivy Peng 18 0 0 25 Apr 2025
Identifying Unknown Stochastic Dynamics via Finite expression methods Senwei Liang Chunmei Wang Xingjian Xu 28 0 0 09 Apr 2025
High-entropy Advantage in Neural Networks' Generalizability Entao Yang Jiahui Geng Yue Shang Ge Zhang AI4CE 66 0 0 17 Mar 2025
Steganography Beyond Space-Time with Chain of Multimodal AI Ching-Chun Chang Isao Echizen 74 0 0 25 Feb 2025
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Madhav Muthyala Farshud Sorourifar You Peng J. Paulson 55 1 0 05 Feb 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk M. Schaar 114 0 0 30 Jan 2025
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models Fabrício Olivetti de França G. Kronberger 52 1 0 29 Jan 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
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization Fabricio Olivetti de Franca 60 3 0 03 Jan 2025
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
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Samiha Sharlin Tyler R. Josephson ReLM LLMAG LRM 47 1 0 22 Oct 2024
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs Chun-Wun Cheng Jiahao Huang Yi Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero Mamba AI4CE 93 3 0 03 Oct 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 41 0 0 27 Sep 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 25 2 0 09 Sep 2024
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision Jakin Ng Yongjian Wang Ching-Yao Lai 40 1 0 24 Jul 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming Yousef A. Radwan G. Kronberger Stephan M. Winkler OffRL 62 4 0 05 Jun 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 48 4 0 30 May 2024
Symbolic Regression for Beyond the Standard Model Physics Shehu AbdusSalam Steve Abel M. Romão 50 6 0 28 May 2024
How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator Subhash Kantamneni Ziming Liu Max Tegmark 19 2 0 23 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 51 0 0 10 May 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 98 485 0 30 Apr 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
Prove Symbolic Regression is NP-hard by Symbol Graph Jinglu Song Qiang Lu Bozhou Tian Jingwen Zhang Jake Luo Zhiguang Wang 30 0 0 22 Apr 2024
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem Andrew Ni Lee Spector 37 0 0 19 Apr 2024
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation Jingmin Sun Yuxuan Liu Zecheng Zhang Hayden Schaeffer AI4CE 30 17 0 18 Apr 2024
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 40 2 0 09 Apr 2024
Closed-form congestion control via deep symbolic regression Jean Martins Igor Almeida Ricardo Souza Silvia Lins 17 0 0 28 Mar 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
General Automatic Solution Generation of Social Problems Tong Niu Haoyu Huang Yu Du Weihao Zhang Luping Shi Rong Zhao 16 0 0 25 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 48 9 0 24 Jan 2024
Learning effective good variables from physical data Giulio Barletta G. Trezza E. Chiavazzo 29 3 0 10 Jan 2024
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 23 0 0 19 Dec 2023
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 32 1 0 19 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 46 2 0 15 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 44 0 0 06 Dec 2023
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 38 6 0 12 Oct 2023
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers Stéphane d’Ascoli Soren Becker Alexander Mathis Philippe Schwaller Niki Kilbertus 29 22 0 09 Oct 2023
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 45 4 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 23 10 0 08 Oct 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 24 3 0 18 Sep 2023
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables Javier Orera-Echeverria J. Ayensa-Jiménez Manuel Doblaré 25 1 0 07 Aug 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 34 1 0 11 Jul 2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 26 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
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 40 73 0 21 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 22 2 0 12 May 2023
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability Ziming Liu Eric Gan Max Tegmark 26 36 0 04 May 2023