Extrapolation and learning equations

10 October 2016

Papers citing "Extrapolation and learning equations"

50 / 90 papers shown

Title
Interpretable Robotic Friction Learning via Symbolic Regression Philipp Scholl Alexander Dietrich Sebastian Wolf Jinoh Lee Alin Albu-Schäffer Gitta Kutyniok Maged Iskandar 44 0 0 19 May 2025
Discovering Symbolic Differential Equations with Symmetry Invariants Jianke Yang Manu Bhat Bryan Hu Yadi Cao Nima Dehmamy Robin Walters Rose Yu 47 0 0 17 May 2025
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 85 0 0 09 May 2025
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression Jiří Kubalík Robert Babuška 70 0 0 23 Apr 2025
CTSR: Cartesian tensor-based sparse regression for data-driven discovery of high-dimensional invariant governing equations Boqian Zhang Juanmian Lei Guoyou Sun Shuaibing Ding Jian Guo 83 0 0 10 Apr 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 160 2 0 30 Mar 2025
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models Nisal Ranasinghe Damith A. Senanayake Saman K. Halgamuge 73 0 0 30 Mar 2025
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints J.-P. Bruneton 130 0 0 24 Mar 2025
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 150 1 0 24 Feb 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk Mihaela van der Schaar 289 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 168 2 0 28 Jan 2025
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 59 1 0 15 Oct 2024
Baseflow identification via explainable AI with Kolmogorov-Arnold networks Chuyang Liu Tirthankar Roy Daniel M. Tartakovsky D. Dwivedi 51 0 0 10 Oct 2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 131 2 0 09 Sep 2024
KAN 2.0: Kolmogorov-Arnold Networks Meet Science Ziming Liu Pingchuan Ma Yixuan Wang Wojciech Matusik Max Tegmark 124 75 0 19 Aug 2024
Univariate Skeleton Prediction in Multivariate Systems Using Transformers Giorgio Morales John W. Sheppard 71 1 0 25 Jun 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 127 2 0 17 Jun 2024
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems Adarsh Iyer N. Boddupalli Jeff Moehlis 28 0 0 05 Jun 2024
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models Peijie Dong Lujun Li Zhenheng Tang Xiang Liu Xinglin Pan Qiang-qiang Wang Xiaowen Chu 153 33 0 05 Jun 2024
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step Owen Dugan Donato Manuel Jimenez Beneto Charlotte Loh Zhuo Chen Rumen Dangovski Marin Soljacic LRM 75 2 0 04 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 85 3 0 02 Jun 2024
Function Extrapolation with Neural Networks and Its Application for Manifolds Guy Hay N. Sharon 76 2 0 17 May 2024
LLM4ED: Large Language Models for Automatic Equation Discovery Mengge Du Yuntian Chen Zhongzheng Wang Longfeng Nie Dong-juan Zhang 69 5 0 13 May 2024
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 103 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 310 587 0 30 Apr 2024
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations Krzysztof Kacprzyk M. Schaar 58 1 0 15 Apr 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations Lirui Luo Guoxi Zhang Hongming Xu Yaodong Yang Cong Fang Qing Li 113 11 0 19 Mar 2024
Deep Neural Network for Constraint Acquisition through Tailored Loss Function Eduardo Vyhmeister Rocio Paez Gabriel Gonzalez 73 0 0 04 Mar 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 91 9 0 24 Jan 2024
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression Ho Fung Tsoi Vladimir Loncar S. Dasu Philip C. Harris 235 4 0 18 Jan 2024
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients S. J. Wetzel 105 3 0 10 Jan 2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations Nisal Ranasinghe Damith A. Senanayake Sachith Seneviratne Malin Premaratne Saman K. Halgamuge 129 4 0 18 Dec 2023
Class Symbolic Regression: Gotta Fit Ém All Wassim Tenachi Rodrigo Ibata Thibaut L. François F. Diakogiannis 87 5 0 04 Dec 2023
$Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$-elimination and Bayesian model selection$ Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$ -elimination and Bayesian model selection Daniel Nickelsen B. Bah 118 0 0 22 Nov 2023
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations Yanjie Li Weijun Li Lina Yu Min Wu Jinyi Liu Wenqiang Li Meilan Hao Shu Wei Yusong Deng 84 4 0 13 Nov 2023
Theory and implementation of inelastic Constitutive Artificial Neural Networks H. Holthusen L. Lamm T. Brepols Stefanie Reese Ellen Kuhl AI4CE 108 32 0 10 Nov 2023
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills Hector M. Perez-Villeda J. Piater Matteo Saveriano 43 0 0 04 Nov 2023
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo Rui Zhang Shaohui Peng Qi Yi Xingui Hu ... Zidong Du Xishan Zhang Ling Li Qi Guo Yunji Chen OffRL 68 7 0 02 Nov 2023
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization Philipp Scholl Katharina Bieker Hillary Hauger Gitta Kutyniok 112 5 0 09 Oct 2023
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data Wenqiang Li Weijun Li Lina Yu Min Wu Linjun Sun Jingyi Liu Yanjie Li Shu Wei Yusong Deng Meilan Hao 74 6 0 24 Sep 2023
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs Elham Kiyani M. Kooshkbaghi K. Shukla R. Koneru Zhen Li L. Bravo A. Ghoshal George Karniadakis M. Karttunen AI4CE 62 4 0 18 Jul 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
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
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
Correcting for Selection Bias and Missing Response in Regression using Privileged Information Philip A. Boeken Noud de Kroon Mathijs de Jong Joris M. Mooij O. Zoeter 103 4 0 29 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 76 83 0 06 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 60 4 0 06 Mar 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
Efficient Generator of Mathematical Expressions for Symbolic Regression Sebastian Mežnar Jannis Brugger L. Todorovski 75 13 0 20 Feb 2023