Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

6 March 2023

Papers citing "Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws"

31 / 31 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
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 34 0 0 09 May 2025
AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge You-Le Fang Dong-Shan Jian Xiang Li Yan Ma 37 0 0 02 Apr 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints J.-P. Bruneton 51 0 0 24 Mar 2025
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors Sikai Huang Yixin Berry Wen Tara Adusumilli Kusum Choudhary Haizhao Yang 57 0 0 13 Mar 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
Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life Pei Li Joo-Ho Choi Dingyang Zhang Shuyou Zhang Yiming Zhang AI4CE 84 0 0 18 Nov 2024
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression Jiao Hu Jiaxu Cui Bo Yang AI4CE 39 0 0 11 Nov 2024
Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation Teppei Kurita Yuhi Kondo Legong Sun Takayuki Sasaki Sho Nitta Yasuhiro Hashimoto Yoshinori Muramatsu Y. Moriuchi MDE 3DH 33 0 0 06 Nov 2024
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 50 1 0 22 Oct 2024
Ab initio nonparametric variable selection for scalable Symbolic Regression with large $p$ Shengbin Ye Meng Li 31 0 0 17 Oct 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 43 0 0 27 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 38 2 0 06 Sep 2024
Discovering Car-following Dynamics from Trajectory Data through Deep Learning Ohay Angah James Enouen Xuegang (Jeff) Ban Ban Yan Liu 29 0 0 01 Aug 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 38 2 0 17 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 48 1 0 02 Jun 2024
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models Parshin Shojaee Kazem Meidani Shashank Gupta A. Farimani Chandan K. Reddy 47 15 0 29 Apr 2024
Discovering Nuclear Models from Symbolic Machine Learning Jose M. Munoz S. Udrescu Ronald F. Garcia Ruiz 22 0 0 17 Apr 2024
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework Xia Chen A. Rex Janis Woelke Christoph Eckert B. Bensmann R. Hanke‐Rauschenbach Philipp Geyer 40 0 0 24 Jan 2024
Class Symbolic Regression: Gotta Fit Ém All Wassim Tenachi Rodrigo Ibata Thibaut L. François F. Diakogiannis 27 4 0 04 Dec 2023
GFN-SR: Symbolic Regression with Generative Flow Networks Sida Li Ioana Marinescu Sebastian Musslick 37 3 0 01 Dec 2023
Alpha Zero for Physics: Application of Symbolic Regression with Alpha Zero to find the analytical methods in physics Yoshihiro Michishita AI4CE 33 2 0 21 Nov 2023
Optimal Inflationary Potentials Tomás Sousa Deaglan J. Bartlett Harry Desmond Pedro G. Ferreira 26 4 0 25 Oct 2023
Boolformer: Symbolic Regression of Logic Functions with Transformers Stéphane dÁscoli Samy Bengio Josh Susskind Emmanuel Abbe 21 5 0 21 Sep 2023
Active Learning in Symbolic Regression with Physical Constraints Jorge Medina Andrew D. White 21 3 0 17 May 2023
Benchmarking sparse system identification with low-dimensional chaos A. Kaptanoglu Lanyue Zhang Zachary G. Nicolaou Urban Fasel Steven L. Brunton 50 20 0 04 Feb 2023
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System Charles Fox Neil Tran Nikki Nacion Samiha Sharlin Tyler R. Josephson 30 3 0 27 Jan 2023
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge Liron Simon Keren A. Liberzon Teddy Lazebnik 27 81 0 13 Sep 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 14 0 0 05 May 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 49 113 0 07 Dec 2021