Learning Equations for Extrapolation and Control

19 June 2018

Papers citing "Learning Equations for Extrapolation and Control"

50 / 129 papers shown

Title
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos Caroline Silva A. Sobral A. Vacavant T. Bouwmans José A. M. Felippe De Souza 29 0 0 11 Aug 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 89 17 0 24 Jul 2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning Tim Schneider A. Totounferoush Wolfgang Nowak Steffen Staab 68 0 0 14 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 78 3 0 07 Jun 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health J. J. Schnur Nitesh Chawla 60 5 0 31 May 2023
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning Shuo Yu Hongyan Xue Xiang Ao Feiyang Pan Jia He Dandan Tu Qing He AIFin 64 12 0 25 May 2023
Simultaneous identification of models and parameters of scientific simulators Cornelius Schroder Jakob H. Macke 104 4 0 24 May 2023
RSRM: Reinforcement Symbolic Regression Machine Yilong Xu Yang Liu Haoqin Sun 50 4 0 24 May 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 108 77 0 21 May 2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems Stefan Kramer Mattia Cerrato Jannis Brugger Sašo Džeroski Ross King 90 12 0 03 May 2023
Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl M. Cranmer 108 42 0 02 May 2023
Differentiable Genetic Programming for High-dimensional Symbolic Regression Peng Zeng Xiaotian Song Andrew Lensen Yuwei Ou Yanan Sun Mengjie Zhang Jiancheng Lv 84 3 0 18 Apr 2023
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition F. O. França M. Virgolin M. Kommenda M. Majumder M. Cranmer ... Bogdan Burlacu Jaan Kasak Meera Machado Casper Wilstrup William La Cava 51 10 0 03 Apr 2023
Online Symbolic Regression with Informative Query Pengwei Jin Di Huang Rui Zhang Xingui Hu Ziyuan Nan Zidong Du Qi Guo Yunji Chen 45 2 0 21 Feb 2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions Mahed Abroshan Saumitra Mishra Mohammad Mahdi Khalili 72 4 0 09 Feb 2023
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression Jiří Kubalík Erik Derner Robert Babuška 69 12 0 01 Feb 2023
Symbolic expression generation via Variational Auto-Encoder Sergei Popov Mikhail Lazarev V. Belavin D. Derkach Andrey Ustyuzhanin DRL 72 5 0 15 Jan 2023
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks Hector M. Perez-Villeda J. Piater Matteo Saveriano 33 9 0 16 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
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke Sanjay Chawla 127 115 0 20 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
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning Mengge Du Yuntian Chen Dong-juan Zhang 58 0 0 04 Oct 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study Yongtao Wu Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher 85 11 0 16 Sep 2022
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems Daniel M. DiPietro Bo Zhu 28 1 0 04 Sep 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
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 82 10 0 13 Jun 2022
CoNSoLe: Convex Neural Symbolic Learning Haoran Li Yang Weng Hanghang Tong 86 9 0 01 Jun 2022
SymFormer: End-to-end symbolic regression using transformer-based architecture Martin Vastl Jonáš Kulhánek Jiří Kubalík Erik Derner Robert Babuška 114 51 0 31 May 2022
GSR: A Generalized Symbolic Regression Approach Tony Tohme Dehong Liu K. Youcef-Toumi 99 14 0 31 May 2022
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression Jiachen Li Ye Yuan Hongze Shen 56 7 0 24 May 2022
Taylor Genetic Programming for Symbolic Regression Baihe He Qiang Lu Qingyun Yang Jake Luo Zhiguang Wang 59 31 0 28 Apr 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 47 39 0 26 Apr 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 108 178 0 22 Apr 2022
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach Steeven Janny Quentin Possamaï L. Bako Madiha Nadri Wolf Christian Wolf 71 2 0 19 Apr 2022
Discovering Governing Equations by Machine Learning implemented with Invariance Chao Chen Xiaowei Jin Hui Li PINN AI4CE 39 1 0 29 Mar 2022
Integration of knowledge and data in machine learning Yuntian Chen Dongxiao Zhang PINN 88 33 0 15 Feb 2022
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic Regression Laure Crochepierre Lydia Boudjeloud Vincent Barbesant 15 4 0 09 Feb 2022
Rediscovering orbital mechanics with machine learning Pablo Lemos N. Jeffrey M. Cranmer S. Ho Peter W. Battaglia PINN AI4CE 84 92 0 04 Feb 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao Sun AI4CE 115 30 0 28 Jan 2022
Deep Symbolic Regression for Recurrent Sequences Stéphane dÁscoli Pierre-Alexandre Kamienny Guillaume Lample Franccois Charton 154 55 0 12 Jan 2022
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter D. Wadekar L. Thiele F. Villaescusa-Navarro J. Hill M. Cranmer D. Spergel N. Battaglia D. Anglés-Alcázar L. Hernquist S. Ho 94 12 0 04 Jan 2022
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio Santiago Daniel Faissol Brenden K. Petersen 130 93 0 29 Oct 2021
A Neural Network Ensemble Approach to System Identification Elisa Negrini G. Citti L. Capogna 44 2 0 15 Oct 2021
Learning Division with Neural Arithmetic Logic Modules Bhumika Mistry K. Farrahi Jonathon S. Hare 27 0 0 11 Oct 2021
Paradigm Shift Through the Integration of Physical Methodology and Data Science T. Miyamoto AI4CE 38 0 0 30 Sep 2021
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling Kookjin Lee Nathaniel Trask P. Stinis 75 26 0 11 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 207 263 0 29 Jul 2021
Inferring the Structure of Ordinary Differential Equations Juliane Weilbach S. Gerwinn Christian D. Weilbach M. Kandemir 59 3 0 05 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 109 69 0 02 Jul 2021
SymbolicGPT: A Generative Transformer Model for Symbolic Regression Mojtaba Valipour Bowen You Maysum Panju A. Ghodsi 67 95 0 27 Jun 2021