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2020 – today
- 2022
[j4]Kailai Xu, Eric Darve:
Physics constrained learning for data-driven inverse modeling from sparse observations. J. Comput. Phys. 453: 110938 (2022)- 2021
- [j3]Weiqiang Zhu, Kailai Xu, Eric Darve, Gregory C. Beroza:
A general approach to seismic inversion with automatic differentiation. Comput. Geosci. 151: 104751 (2021) - [j2]Kailai Xu
, Daniel Zhengyu Huang, Eric Darve:
Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. 428: 110072 (2021) - [c4]Kailai Xu, Eric Darve:
ADCME MPI: Distributed Machine Learning for Computational Engineering. AAAI Spring Symposium: MLPS 2021 - [i10]Kailai Xu, Eric Darve:
Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. CoRR abs/2105.07552 (2021) - 2020
- [j1]Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat, Eric Darve:
Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. 416: 109491 (2020) - [c3]Kailai Xu, Eric Darve:
Data-Driven Inverse Modeling with Incomplete Observations. AAAI Spring Symposium: MLPS 2020 - [c2]Kailai Xu, Eric Darve:
Calibrating Multivariate Lévy Processes with Neural Networks. MSML 2020: 207-220 - [i9]Kailai Xu, Eric Darve:
Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. CoRR abs/2002.10521 (2020) - [i8]Kailai Xu, Daniel Zhengyu Huang, Eric Darve:
Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR abs/2004.00265 (2020) - [i7]Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve:
Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. CoRR abs/2005.04384 (2020) - [i6]Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve:
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR abs/2008.13074 (2020) - [i5]Kailai Xu, Weiqiang Zhu, Eric Darve:
Distributed Machine Learning for Computational Engineering using MPI. CoRR abs/2011.01349 (2020) - [i4]Kailai Xu, Eric Darve:
ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. CoRR abs/2011.11955 (2020)
2010 – 2019
- 2019
- [i3]Kailai Xu, Eric Darve:
Adversarial Numerical Analysis for Inverse Problems. CoRR abs/1910.06936 (2019) - [i2]Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris:
Learning Hidden Dynamics using Intelligent Automatic Differentiation. CoRR abs/1912.07547 (2019) - 2018
- [i1]Kailai Xu, Eric Darve:
Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. CoRR abs/1812.08883 (2018) - 2010
- [c1]Wei Shi, Shusheng Xiong, Chaoshan Zhang, Yaohua Jiang, Wei Li, Xijiang Wu, Xiaoshuai Ren, Wenhua He, Kailai Xu, Ji Zhou:
Study on Stability of Vehicle Mass Analysis System. ISIA 2010: 554-559
Coauthor Index
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