Learning Equations for Extrapolation and Control

19 June 2018

Papers citing "Learning Equations for Extrapolation and Control"

50 / 129 papers shown

Title
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression Mansooreh Montazerin Majd Al Aawar Antonio Ortega Ajitesh Srivastava 17 0 0 09 Jun 2025
NeuronSeek: On Stability and Expressivity of Task-driven Neurons Hanyu Pei Jing-Xiao Liao Qibin Zhao Ting Gao Shijun Zhang Xiaoge Zhang Feng-Lei Fan OOD 34 0 0 01 Jun 2025
Automated Modeling Method for Pathloss Model Discovery Ahmad Anaqreh Shih-Kai Chou M. Mohorčič Thomas Lagkas Carolina Fortuna 84 0 0 29 May 2025
Discovering Symbolic Differential Equations with Symmetry Invariants Jianke Yang Manu Bhat Bryan Hu Yadi Cao Nima Dehmamy Robin Walters Rose Yu 45 0 0 17 May 2025
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 73 0 0 16 May 2025
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 126 0 0 13 May 2025
UniSymNet: A Unified Symbolic Network Guided by Transformer Xinxin Li Juan Zhang Da Li Xingyu Liu Jin Xu Junping Yin 83 0 0 09 May 2025
Call for Action: towards the next generation of symbolic regression benchmark Guilherme Seidyo Imai Aldeia Hengzhe Zhang Geoffrey Bomarito Miles Cranmer Alcides Fonseca Bogdan Burlacu William La Cava F. O. França 73 0 0 06 May 2025
Neuro-Evolutionary Approach to Physics-Aware Symbolic Regression Jiří Kubalík Robert Babuška 70 0 0 23 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr Volkan Cevher AAML 168 2 0 17 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
Graph-Eq: Discovering Mathematical Equations using Graph Generative Models Nisal Ranasinghe Damith A. Senanayake Saman K. Halgamuge 73 0 0 30 Mar 2025
Symbolic Neural Ordinary Differential Equations Xin Li Chengli Zhao Xue Zhang Xiaojun Duan 69 2 0 11 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
Al-Khwarizmi: Discovering Physical Laws with Foundation Models Christopher E. Mower Haitham Bou-Ammar AI4CE 205 2 0 03 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
ViSymRe: Vision-guided Multimodal Symbolic Regression Da Li Junping Yin Jin Xu Xinxin Li Juan Zhang 125 1 0 15 Dec 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
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks Nisal Ranasinghe Yu Xia Sachith Seneviratne Saman K. Halgamuge 76 4 0 27 Aug 2024
Self-driving lab discovers principles for steering spontaneous emission Saaketh Desai S. Addamane Jeffery Y. Tsao Igal Brener Rémi Dingreville Prasad P Iyer 27 0 0 22 Jul 2024
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors Hao Shi Weili Song Xinting Zhang Jiahe Shi Cuicui Luo Xiang Ao Hamid Arian Luis Seco 108 4 0 26 Jun 2024
Univariate Skeleton Prediction in Multivariate Systems Using Transformers Giorgio Morales John W. Sheppard 71 1 0 25 Jun 2024
$$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning$ $\text{Alpha}^2$ : Discovering Logical Formulaic Alphas using Deep Reinforcement Learning Feng Xu Yan-Chao Yin Xinyu Zhang Tianyuan Liu Shengyi Jiang Zongzhang Zhang 62 0 0 24 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
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
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 98 0 0 10 May 2024
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target Zi-Rui Zhang Yang Liu Hao Sun 86 1 0 27 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
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 84 11 0 14 Mar 2024
Automated Discovery of Integral with Deep Learning Xiaoxin Yin 50 0 0 28 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 60 2 0 25 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 127 4 0 18 Dec 2023
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions Esteban Real Yao Chen Mirko Rossini Connal de Souza Manav Garg Akhil Verghese Moritz Firsching Quoc V. Le E. D. Cubuk David H. Park 68 1 0 13 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
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
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
Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus Simone Manti Alessandro Lucantonio AI4CE 65 4 0 10 Oct 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
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 141 10 0 08 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
Physics-constrained robust learning of open-form partial differential equations from limited and noisy data Mengge Du Yuntian Chen Longfeng Nie Siyu Lou Dong-juan Zhang AI4CE 83 8 0 14 Sep 2023
StreamBed: capacity planning for stream processing Guillaume Rosinosky Donatien Schmitz Etienne Rivière 26 4 0 06 Sep 2023