AI Feynman: a Physics-Inspired Method for Symbolic Regression

27 May 2019

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

50 / 126 papers shown

Title
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 36 14 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 37 2 0 18 Apr 2023
The R-mAtrIx Net Shailesh Lal Suvajit Majumder E. Sobko 24 5 0 14 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 42 5 0 13 Apr 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 13 71 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 45 79 0 23 Feb 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search Pierre-Alexandre Kamienny Guillaume Lample Sylvain Lamprier M. Virgolin 34 25 0 22 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 27 0 0 05 Feb 2023
Oracle-Preserving Latent Flows Alexander Roman Roy T. Forestano Konstantin T. Matchev Katia Matcheva Eyup B. Unlu DRL 37 5 0 02 Feb 2023
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 36 22 0 13 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 33 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 42 14 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 58 9 0 30 Dec 2022
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines Koji Watanabe Katsumi Inoue AI4CE 35 1 0 07 Dec 2022
Applications of AI in Astronomy S. Djorgovski Ashish Mahabal Matthew Graham K. Polsterer A. Krone-Martins 21 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 13 2 0 30 Nov 2022
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke Sanjay Chawla 38 94 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 46 13 0 15 Nov 2022
Discovering ordinary differential equations that govern time-series Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus AI4TS 27 4 0 05 Nov 2022
Precision Machine Learning Eric J. Michaud Ziming Liu Max Tegmark 24 34 0 24 Oct 2022
Quantifying Complexity: An Object-Relations Approach to Complex Systems S. Casey 22 1 0 22 Oct 2022
Machine Learning Class Numbers of Real Quadratic Fields Malik Amir Yang-Hui He Kyu-Hwan Lee Thomas Oliver E. Sultanow 13 1 0 19 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 30 12 0 10 Sep 2022
Feynman on Artificial Intelligence and Machine Learning, with Updates E. Mjolsness AI4CE 16 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 17 0 0 19 Aug 2022
What can we Learn by Predicting Accuracy? Olivier Risser-Maroix Benjamin Chamand 27 4 0 02 Aug 2022
Physics Informed Symbolic Networks Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande L. Vig Venkataramana Runkana PINN 26 0 0 11 Jul 2022
Sequential Manipulation Planning on Scene Graph Ziyuan Jiao Yida Niu Zeyu Zhang Song-Chun Zhu Yixin Zhu Hangxin Liu 32 23 0 10 Jul 2022
Understanding Physical Effects for Effective Tool-use Zeyu Zhang Ziyuan Jiao Weiqi Wang Yixin Zhu Song-Chun Zhu Hangxin Liu 35 12 0 30 Jun 2022
D-CIPHER: Discovery of Closed-form Partial Differential Equations Krzysztof Kacprzyk Zhaozhi Qian M. Schaar AI4CE 30 1 0 21 Jun 2022
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning Abdulhakim Alnuqaydan S. Gleyzer Harrison B. Prosper 28 14 0 17 Jun 2022
CoNSoLe: Convex Neural Symbolic Learning Haoran Li Yang Weng Hanghang Tong 27 9 0 01 Jun 2022
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks N. Haut W. Banzhaf B. Punch 14 5 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 25 14 0 29 May 2022
Taylor Genetic Programming for Symbolic Regression Baihe He Qiang Lu Qingyun Yang Jake Luo Zhiguang Wang 37 29 0 28 Apr 2022
Learning Green's functions associated with time-dependent partial differential equations N. Boullé Seick Kim Tianyi Shi Alex Townsend AI4CE 29 25 0 27 Apr 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 33 166 0 22 Apr 2022
Fundamental limits to learning closed-form mathematical models from data Oscar Fajardo-Fontiveros I. Reichardt Harry R. De Los Ríos Jordi Duch M. Sales-Pardo R. Guimerà 30 19 0 06 Apr 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 35 186 0 04 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 23 26 0 02 Apr 2022
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines M. Kefalas Juan de Santiago Rojo A. Apostolidis D. V. D. Herik Bas van Stein T.H.W. Bäck 9 2 0 24 Mar 2022
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations Ziming Liu Varun Madhavan M. Tegmark PINN 38 27 0 23 Mar 2022
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations S. Razavi E. Gamazon 16 5 0 15 Mar 2022
Machine Learning and Cosmology C. Dvorkin S. Mishra-Sharma Brian D. Nord V. A. Villar Camille Avestruz ... A. Ćiprijanović Andrew J. Connolly L. Garrison G. Narayan F. Villaescusa-Navarro AI4CE 29 12 0 15 Mar 2022
Evolving symbolic density functionals He Ma Arunachalam Narayanaswamy Patrick F. Riley Li Li 26 31 0 03 Mar 2022
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression Dazhuang Liu M. Virgolin Tanja Alderliesten Peter A. N. Bosman 44 12 0 14 Feb 2022
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP N. Haut W. Banzhaf B. Punch 32 12 0 09 Feb 2022
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning Parand Akbari Francis Ogoke Ning-Yu Kao Kazem Meidani Chun-Yu Yeh William Lee A. Farimani AI4CE 23 86 0 26 Jan 2022
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression Konstantin T. Matchev Katia Matcheva Alexander Roman 21 30 0 22 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 75 26 0 06 Dec 2021