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Deep Learning and Symbolic Regression for Discovering Parametric Equations

1 July 2022

Papers citing "Deep Learning and Symbolic Regression for Discovering Parametric Equations"

32 / 32 papers shown

Title
Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks Amanda Bertschinger James P. Bagrow Joshua Bongard 142 1 0 24 Feb 2025
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,908 0 13 Apr 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 183 5,213 0 10 Jan 2022
HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks Filipe de Avila Belbute-Peres Yi-fan Chen Fei Sha PINN 55 40 0 28 Oct 2021
Discovering Sparse Interpretable Dynamics from Partial Observations Peter Y. Lu Joan Ariño Bernad Marin Soljacic AI4CE 64 25 0 22 Jul 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 130 873 0 28 Jan 2021
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations Jaideep Pathak M. Mustafa K. Kashinath Emmanuel Motheau Thorsten Kurth M. Day AI4CE 48 45 0 30 Sep 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 75 481 0 19 Jun 2020
Deep-learning of Parametric Partial Differential Equations from Sparse and Noisy Data Hao Xu Dongxiao Zhang Junsheng Zeng 57 57 0 16 May 2020
Continual Deep Learning by Functional Regularisation of Memorable Past Pingbo Pan S. Swaroop Alexander Immer Runa Eschenhagen Richard Turner Mohammad Emtiyaz Khan KELM CLL 52 143 0 29 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 395 1,988 0 11 Apr 2020
iNALU: Improved Neural Arithmetic Logic Unit Daniel Schlor Markus Ring Andreas Hotho 36 17 0 17 Mar 2020
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters Jinlong Liu Guo-qing Jiang Yunzhi Bai Ting Chen Huayan Wang AI4CE 134 50 0 21 Jan 2020
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery Samuel Kim Peter Y. Lu Srijon Mukherjee M. Gilbert Li Jing V. Ceperic Marin Soljacic 63 166 0 10 Dec 2019
Deep Double Descent: Where Bigger Models and More Data Hurt Preetum Nakkiran Gal Kaplun Yamini Bansal Tristan Yang Boaz Barak Ilya Sutskever 123 945 0 04 Dec 2019
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks Alejandro Molina P. Schramowski Kristian Kersting ODL 42 82 0 15 Jul 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 163 881 0 27 May 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 57 241 0 14 Mar 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 76 553 0 30 Nov 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 191 111 0 03 Aug 2018
Neural Arithmetic Logic Units Andrew Trask Felix Hill Scott E. Reed Jack W. Rae Chris Dyer Phil Blunsom NAI 75 206 0 01 Aug 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 437 5,157 0 19 Jun 2018
Learning Equations for Extrapolation and Control Subham S. Sahoo Christoph H. Lampert Georg Martius 51 234 0 19 Jun 2018
Measuring and regularizing networks in function space Ari S. Benjamin David Rolnick Konrad Paul Kording 53 140 0 21 May 2018
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 436 1,147 0 04 Dec 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 103 1,068 0 02 Mar 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 198 2,537 0 02 Nov 2016
Extrapolation and learning equations Georg Martius Christoph H. Lampert 43 159 0 10 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 168 1,632 0 27 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 124 2,008 0 14 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015