Active learning of deep surrogates for PDEs: Application to metasurface design

24 August 2020

Papers citing "Active learning of deep surrogates for PDEs: Application to metasurface design"

8 / 8 papers shown

Title
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 54 4 0 02 Aug 2024
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 31 2 0 09 Aug 2022
Physics-enhanced deep surrogates for partial differential equations R. Pestourie Youssef Mroueh Chris Rackauckas Payel Das Steven G. Johnson PINN AI4CE 25 15 0 10 Nov 2021
Failure-averse Active Learning for Physics-constrained Systems Cheolhei Lee Xing Wang Jianguo Wu Xiaowei Yue AI4CE 19 7 0 27 Oct 2021
Multi-objective and categorical global optimization of photonic structures based on ResNet generative neural networks Jiaqi Jiang Jonathan A. Fan 24 35 0 20 Jul 2020
$Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks$ Freeform Diffractive Metagrating Design Based on Generative Adversarial Networks Jiaqi Jiang David Sell Stephan Hoyer Jason Hickey Jianji Yang Jonathan A. Fan 24 222 0 29 Nov 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015