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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
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles Roy T. Forestano Konstantin T. Matchev Katia Matcheva Alexander Roman Eyup B. Unlu Sarunas Verner AI4CE 95 24 0 13 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 67 1 0 12 Jan 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 107 15 0 10 Jan 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 99 10 0 30 Dec 2022
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data Lena Podina Brydon Eastman Mohammad Kohandel PINN 53 5 0 09 Dec 2022
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines Koji Watanabe Katsumi Inoue AI4CE 52 1 0 07 Dec 2022
Applications of AI in Astronomy S. Djorgovski Ashish Mahabal Matthew Graham K. Polsterer A. Krone-Martins 55 2 0 03 Dec 2022
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications N. Ranasinghe A. Ramanan S. Fernando P. N. Hameed D. Herath T. Malepathirana P. Suganthan M. Niranjan Saman K. Halgamuge 31 2 0 30 Nov 2022
SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning Philipp A. Witte Russell J. Hewett K. Saurabh A. Sojoodi Ranveer Chandra AI4CE 65 2 0 23 Nov 2022
Exhaustive Symbolic Regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 86 28 0 21 Nov 2022
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke Sanjay Chawla 127 115 0 20 Nov 2022
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression Zhongtian Dong K. Kong Konstantin T. Matchev Katia Matcheva 83 13 0 15 Nov 2022
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 51 4 0 05 Nov 2022
Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression Alberto Hernandez Tim Mueller 40 1 0 27 Oct 2022
Precision Machine Learning Eric J. Michaud Ziming Liu Max Tegmark 89 37 0 24 Oct 2022
Quantifying Complexity: An Object-Relations Approach to Complex Systems S. Casey 49 1 0 22 Oct 2022
A Relational Macrostate Theory Guides Artificial Intelligence to Learn Macro and Design Micro Yanbo Zhang S. Walker AI4CE 21 0 0 13 Oct 2022
Microscopy is All You Need Sergei V. Kalinin Rama K Vasudevan Yongtao Liu Ayana Ghosh Kevin M. Roccapriore M. Ziatdinov 76 0 0 12 Oct 2022
Rediscovery of Numerical Lüscher's Formula from the Neural Network Yu Lu Yijia Wang YingChun Chen Jia-Jun Wu 43 1 0 05 Oct 2022
AI-Assisted Discovery of Quantitative and Formal Models in Social Science Julia Balla Sihao Huang Owen Dugan Rumen Dangovski Marin Soljacic 105 5 0 02 Oct 2022
Shape-constrained Symbolic Regression with NSGA-III C. Haider 30 2 0 28 Sep 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang Yuanhao Xiong Minhao Cheng Cho-Jui Hsieh 97 5 0 27 Sep 2022
Machine Learning Class Numbers of Real Quadratic Fields Malik Amir Yang-Hui He Kyu-Hwan Lee Thomas Oliver E. Sultanow 69 1 0 19 Sep 2022
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge Liron Simon Keren A. Liberzon Teddy Lazebnik 112 85 0 13 Sep 2022
Data-driven, multi-moment fluid modeling of Landau damping Wenjie Cheng H. Fu Liang Wang C. Dong Yaqiu Jin M. Jiang Jiayu Ma Yilan Qin Kexin Liu PINN AI4CE 54 12 0 10 Sep 2022
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems Daniel M. DiPietro Bo Zhu 28 1 0 04 Sep 2022
Feynman on Artificial Intelligence and Machine Learning, with Updates E. Mjolsness AI4CE 50 0 0 31 Aug 2022
Neural network facilitated ab initio derivation of linear formula: A case study on formulating the relationship between DNA motifs and gene expression Chengyu Liu Wei Wang 33 0 0 19 Aug 2022
What can we Learn by Predicting Accuracy? Olivier Risser-Maroix Benjamin Chamand 62 4 0 02 Aug 2022
Physics Informed Symbolic Networks Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande Lovekesh Vig Venkataramana Runkana PINN 50 0 0 11 Jul 2022
Sequential Manipulation Planning on Scene Graph Ziyuan Jiao Yida Niu Zeyu Zhang Song-Chun Zhu Yixin Zhu Hangxin Liu 75 25 0 10 Jul 2022
Symbolic Regression is NP-hard M. Virgolin S. Pissis 157 64 0 03 Jul 2022
Deep Learning and Symbolic Regression for Discovering Parametric Equations Michael Zhang Samuel Kim Peter Y. Lu M. Soljavcić 72 21 0 01 Jul 2022
Understanding Physical Effects for Effective Tool-use Zeyu Zhang Ziyuan Jiao Weiqi Wang Yixin Zhu Song-Chun Zhu Hangxin Liu 80 12 0 30 Jun 2022
D-CIPHER: Discovery of Closed-form Partial Differential Equations Krzysztof Kacprzyk Zhaozhi Qian M. Schaar AI4CE 76 1 0 21 Jun 2022
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery Yoshitomo Matsubara Naoya Chiba Ryo Igarashi Yoshitaka Ushiku 77 22 0 21 Jun 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning Abdulhakim Alnuqaydan S. Gleyzer Harrison B. Prosper 161 14 0 17 Jun 2022
Differentiable and Transportable Structure Learning Jeroen Berrevoets Nabeel Seedat F. Imrie M. Schaar 87 2 0 13 Jun 2022
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms Marcus Märtens Dario Izzo 23 5 0 13 Jun 2022
Simplifying Polylogarithms with Machine Learning Aurélien Dersy M. Schwartz Xiao-Yan Zhang AI4CE 203 16 0 08 Jun 2022
CoNSoLe: Convex Neural Symbolic Learning Haoran Li Yang Weng Hanghang Tong 86 9 0 01 Jun 2022
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks N. Haut W. Banzhaf B. Punch 32 5 0 31 May 2022
GSR: A Generalized Symbolic Regression Approach Tony Tohme Dehong Liu K. Youcef-Toumi 99 14 0 31 May 2022
Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs) J. Abbasi Paal Ostebo Andersen PINN AI4CE 72 16 0 29 May 2022
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression Jiachen Li Ye Yuan Hongze Shen 56 7 0 24 May 2022
DNNR: Differential Nearest Neighbors Regression Youssef Nader Leon Sixt Tim Landgraf 389 14 0 17 May 2022
Discovering stochastic dynamical equations from biological time series data Arshed Nabeel Ashwin Karichannavar Shuaib Palathingal Jitesh Jhawar David B. Brückner M. DannyRaj Vishwesha Guttal AI4TS 58 0 0 05 May 2022
Distilling Governing Laws and Source Input for Dynamical Systems from Videos Lele Luan Yang Liu Hao Sun PINN 21 6 0 03 May 2022
Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution Stephen Powers Carlo Pinciroli 23 2 0 02 May 2022
Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular Population Daniel Messenger Graycen E. Wheeler X. Liu David M. Bortz 111 18 0 29 Apr 2022