Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning

3 October 2020

Timon Rabczuk

Papers citing "Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning"

20 / 20 papers shown

Title
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate Hongwei Guo X. Zhuang Timon Rabczuk AI4CE 37 434 0 04 Feb 2021
Physics-Informed Neural Networks for Power Systems George S. Misyris Andreas Venzke Spyros Chatzivasileiadis PINN AI4CE 42 216 0 09 Nov 2019
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 178 1,359 0 27 Aug 2019
$Transfer learning enhanced physics informed neural network for phase-field modeling of fracture$ Transfer learning enhanced physics informed neural network for phase-field modeling of fracture S. Goswami C. Anitescu S. Chakraborty Timon Rabczuk PINN 36 602 0 04 Jul 2019
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 77 3,978 0 15 Jul 2018
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations M. Raissi 82 186 0 19 Apr 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 69 2,755 0 09 Feb 2018
Deep Learning for Genomics: A Concise Overview Tianwei Yue Yuanxin Wang Longxiang Zhang Chunming Gu Haohan Wang Wenping Wang Qi Lyu Yujie Dun AILaw VLM BDL 49 90 0 02 Feb 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations M. Raissi PINN AI4CE 87 748 0 20 Jan 2018
Progressive Neural Architecture Search Chenxi Liu Barret Zoph Maxim Neumann Jonathon Shlens Wei Hua Li Li Li Fei-Fei Alan Yuille Jonathan Huang Kevin Patrick Murphy 64 1,986 0 02 Dec 2017
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 93 1,373 0 30 Sep 2017
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations C. Beck Weinan E Arnulf Jentzen 38 327 0 18 Sep 2017
DGM: A deep learning algorithm for solving partial differential equations Justin A. Sirignano K. Spiliopoulos AI4CE 54 2,042 0 24 Aug 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 46 1,132 0 02 Aug 2017
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations Weinan E Jiequn Han Arnulf Jentzen 104 790 0 15 Jun 2017
Deep learning and the Schrödinger equation Kyle Mills M. Spanner Isaac Tamblyn 25 140 0 05 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 375 5,346 0 05 Nov 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 155 2,307 0 21 Mar 2016
Non-stochastic Best Arm Identification and Hyperparameter Optimization Kevin Jamieson Ameet Talwalkar 133 570 0 27 Feb 2015
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 268 7,883 0 13 Jun 2012