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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
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 59 1 0 15 Oct 2024
System 2 Reasoning via Generality and Adaptation Sejin Kim Sundong Kim LRM AI4CE 120 0 0 10 Oct 2024
MLP-KAN: Unifying Deep Representation and Function Learning Yunhong He Yifeng Xie Zhengqing Yuan Lichao Sun 110 2 0 03 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 146 5 0 03 Oct 2024
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas Yang Li Shengyuan Xu Jinqiao Duan 50 0 0 29 Sep 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 113 0 0 27 Sep 2024
Symbolic Regression with a Learned Concept Library Arya Grayeli Atharva Sehgal Omar Costilla-Reyes Miles Cranmer Swarat Chaudhuri 111 15 0 14 Sep 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 131 2 0 09 Sep 2024
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis Yi Xie Tianyu Qiu Yun Xiong Xiuqi Huang Xiaofeng Gao Chao Chen AI4TS 98 2 0 06 Sep 2024
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks Nisal Ranasinghe Yu Xia Sachith Seneviratne Saman K. Halgamuge 76 4 0 27 Aug 2024
Artificial intelligence for science: The easy and hard problems Ruairidh M. Battleday Samuel Gershman AIMat 30 0 0 24 Aug 2024
Quantifying Behavioural Distance Between Mathematical Expressions Sebastian Mežnar Sašo Džeroski Ljupčo Todorovski 26 0 0 21 Aug 2024
Operator Feature Neural Network for Symbolic Regression Yusong Deng Min Wu Lina Yu Jingyi Liu Shu Wei Yanjie Li Weijun Li 54 0 0 14 Aug 2024
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision Jakin Ng Yongjian Wang Ching-Yao Lai 67 2 0 24 Jul 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 53 0 0 25 Jun 2024
Univariate Skeleton Prediction in Multivariate Systems Using Transformers Giorgio Morales John W. Sheppard 71 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 79 0 0 21 Jun 2024
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression Yufan Zhu Zi-Yu Khoo Jonathan Sze Choong Low Stephane Bressan AI4Ed 127 2 0 17 Jun 2024
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients Zachary Bastiani R. Kirby Jacob Hochhalter Shandian Zhe 93 3 0 10 Jun 2024
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery Yanjie Li Weijun Li Lina Yu Min Wu Jingyi Liu Wenqiang Li Shu Wei Yusong Deng OffRL 89 3 0 08 Jun 2024
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming Yousef A. Radwan G. Kronberger Stephan M. Winkler OffRL 111 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 85 3 0 02 Jun 2024
A Triumvirate of AI Driven Theoretical Discovery Yang-Hui He AI4CE 87 5 0 30 May 2024
Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models V. Venkatasubramanian Arijit Chakraborty 62 12 0 29 May 2024
Unit-Aware Genetic Programming for the Development of Empirical Equations J. Reuter Viktor Martinek Roland Herzog Sanaz Mostaghim 69 2 0 29 May 2024
Is machine learning good or bad for the natural sciences? David W. Hogg Soledad Villar AI4CE 90 8 0 28 May 2024
Symbolic Regression for Beyond the Standard Model Physics Shehu AbdusSalam Steve Abel M. Romão 144 6 0 28 May 2024
Symmetry-Informed Governing Equation Discovery Jianke Yang Wang Rao Nima Dehmamy Robin Walters Rose Yu 77 3 0 27 May 2024
How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator Subhash Kantamneni Ziming Liu Max Tegmark 170 2 0 23 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 98 0 0 10 May 2024
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development Alexander W. Rogers A. Lane C. Mendoza Simon Watson Adam Kowalski P. Martin Dongda Zhang 129 6 0 07 May 2024
A review on data-driven constitutive laws for solids J. Fuhg G. A. Padmanabha N. Bouklas B. Bahmani WaiChing Sun Nikolaos N. Vlassis Moritz Flaschel P. Carrara L. Lorenzis AI4CE AILaw 79 42 0 06 May 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 310 587 0 30 Apr 2024
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery Matteo Merler Katsiaryna Haitsiukevich Nicola Dainese Pekka Marttinen 87 11 0 29 Apr 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 217 23 0 29 Apr 2024
Automating the Discovery of Partial Differential Equations in Dynamical Systems Weizhen Li Rui Carvalho 71 1 0 25 Apr 2024
Prove Symbolic Regression is NP-hard by Symbol Graph Jinglu Song Qiang Lu Bozhou Tian Jingwen Zhang Jake Luo Zhiguang Wang 54 0 0 22 Apr 2024
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem Andrew Ni Lee Spector 61 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 156 20 0 18 Apr 2024
Discovering Nuclear Models from Symbolic Machine Learning Jose M. Munoz S. Udrescu Ronald F. Garcia Ruiz 107 0 0 17 Apr 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology Juan L. Gamella Jonas Peters Peter Buhlmann 175 10 0 17 Apr 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations Krzysztof Kacprzyk M. Schaar 58 1 0 15 Apr 2024
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks Lena Podina Ali Ghodsi Mohammad Kohandel 29 4 0 11 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 80 3 0 09 Apr 2024
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set Guilherme Seidyo Imai Aldeia Fabrício Olivetti de França 89 10 0 08 Apr 2024
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data Sannyuya Liu Qing Li Xiaoxuan Shen Jianwen Sun Zongkai Yang 50 9 0 08 Apr 2024
Closed-form congestion control via deep symbolic regression Jean Martins Igor Almeida Ricardo Souza Silvia Lins 27 0 0 28 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 84 11 0 14 Mar 2024
Discovering interpretable models of scientific image data with deep learning Christopher J. Soelistyo Alan R. Lowe 63 6 0 05 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 60 2 0 25 Jan 2024