Kailai Xu

18 papers Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Physics constrained learning for data-driven inverse modeling from sparse observations. J. Comput. Phys. Kailai Xu, Eric Darve
2021	J	`jnl`	A general approach to seismic inversion with automatic differentiation. Comput. Geosci. Weiqiang Zhu, Kailai Xu, Eric Darve, Gregory C. Beroza
2021	—	`conf`	ADCME MPI: Distributed Machine Learning for Computational Engineering. AAAI Spring Symposium: MLPS Kailai Xu, Eric Darve
2021	J	`jnl`	Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. Kailai Xu, Daniel Zhengyu Huang, Eric Darve
2021	J	`jnl`	Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. CoRR Kailai Xu, Eric Darve
2020	J	`jnl`	ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. CoRR Kailai Xu, Eric Darve
2020	—	`conf`	Calibrating Multivariate Lévy Processes with Neural Networks. MSML Kailai Xu, Eric Darve
2020	—	`conf`	Data-Driven Inverse Modeling with Incomplete Observations. AAAI Spring Symposium: MLPS Kailai Xu, Eric Darve
2020	J	`jnl`	Distributed Machine Learning for Computational Engineering using MPI. CoRR Kailai Xu, Weiqiang Zhu, Eric Darve
2020	J	`jnl`	Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. CoRR Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve
2020	J	`jnl`	Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR Kailai Xu, Daniel Zhengyu Huang, Eric Darve
2020	J	`jnl`	Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat, Eric Darve
2020	J	`jnl`	Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. CoRR Kailai Xu, Eric Darve
2020	J	`jnl`	Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve
2019	J	`jnl`	Adversarial Numerical Analysis for Inverse Problems. CoRR Kailai Xu, Eric Darve
2019	J	`jnl`	Learning Hidden Dynamics using Intelligent Automatic Differentiation. CoRR Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris
2018	J	`jnl`	Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. CoRR Kailai Xu, Eric Darve
2010	—	`conf`	Study on Stability of Vehicle Mass Analysis System. ISIA Wei Shi, Shusheng Xiong, Chaoshan Zhang, Yaohua Jiang, Wei Li, Xijiang Wu, Xiaoshuai Ren, Wenhua He, Kailai Xu, Ji Zhou