AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

18 June 2020

Papers citing "AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity"

45 / 45 papers shown

Title
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics Conor F. Hayes Felipe Leno Da Silva Jiachen Yang T. Nathan Mundhenk Chak Shing Lee ... Ahmet Can Solak Thomas Desautels Daniel Faissol Brenden K. Petersen Mikel Landajuela 22 0 0 16 May 2025
Exploiting Edited Large Language Models as General Scientific Optimizers Qitan Lv T. Liu Haoyu Wang 41 0 0 08 Mar 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk M. Schaar 114 0 0 30 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
Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability L. Zheng W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 65 1 0 17 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
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
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
Opening the AI black box: program synthesis via mechanistic interpretability Eric J. Michaud Isaac Liao Vedang Lad Ziming Liu Anish Mudide Chloe Loughridge Zifan Carl Guo Tara Rezaei Kheirkhah Mateja Vukelić Max Tegmark 23 12 0 07 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 20 1 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
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 32 1 0 19 Dec 2023
Physical Symbolic Optimization Wassim Tenachi Rodrigo Ibata F. Diakogiannis 44 0 0 06 Dec 2023
GFN-SR: Symbolic Regression with Generative Flow Networks Sida Li Ioana Marinescu Sebastian Musslick 35 3 0 01 Dec 2023
Machine-Guided Discovery of a Real-World Rogue Wave Model Dion Häfner Johannes Gemmrich Markus Jochum AI4CE 15 10 0 21 Nov 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 25 10 0 08 Oct 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
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability Ziming Liu Eric Gan Max Tegmark 26 36 0 04 May 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato S. Džeroski R. King 31 10 0 03 May 2023
Controllable Neural Symbolic Regression Tommaso Bendinelli Luca Biggio Pierre-Alexandre Kamienny 36 14 0 20 Apr 2023
Priors for symbolic regression Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 42 5 0 13 Apr 2023
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
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
Automatic and effective discovery of quantum kernels Massimiliano Incudini Daniele Lizzio Bosco F. Martini Michele Grossi Giuseppe Serra Alessandra Di Pierro 33 4 0 22 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
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
D-CIPHER: Discovery of Closed-form Partial Differential Equations Krzysztof Kacprzyk Zhaozhi Qian M. Schaar AI4CE 30 1 0 21 Jun 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
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
From Kepler to Newton: Explainable AI for Science Zelong Li Jianchao Ji Yongfeng Zhang 26 19 0 24 Nov 2021
Quantifying Local Specialization in Deep Neural Networks Shlomi Hod Daniel Filan Stephen Casper Andrew Critch Stuart J. Russell 62 10 0 13 Oct 2021
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning Ziming Liu Yunyue Chen Yuanqi Du Max Tegmark PINN AI4CE 40 22 0 28 Sep 2021
Computing Complexity-aware Plans Using Kolmogorov Complexity Elis Stefansson Karl H. Johansson 28 4 0 21 Sep 2021
Machine-learning hidden symmetries Ziming Liu Max Tegmark 48 52 0 20 Sep 2021
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 56 251 0 29 Jul 2021
Neural Symbolic Regression that Scales Luca Biggio Tommaso Bendinelli Alexander Neitz Aurelien Lucchi Giambattista Parascandolo 54 170 0 11 Jun 2021
Logic Guided Genetic Algorithms D. Ashok Joseph Scott S. J. Wetzel Maysum Panju Vijay Ganesh 21 12 0 21 Oct 2020