Kailai Xu

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 17

Top Topics

Machine Learning

Navier Stokes Equations

Numerical Analysis

Top Venues

J. Comput. Phys.

AAAI Spring Symposium: MLPS

Publications

Kailai Xu, Eric Darve
Physics constrained learning for data-driven inverse modeling from sparse observations. J. Comput. Phys. 453 (2022)
Weiqiang Zhu, Kailai Xu, Eric Darve, Gregory C. Beroza
A general approach to seismic inversion with automatic differentiation. Comput. Geosci. 151 (2021)
Kailai Xu, Daniel Z. Huang, Eric Darve
Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. 428 (2021)
Kailai Xu, Eric Darve
Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. CoRR (2021)
Kailai Xu, Eric Darve
ADCME MPI: Distributed Machine Learning for Computational Engineering. AAAI Spring Symposium: MLPS (2021)
Kailai Xu, Eric Darve
Data-Driven Inverse Modeling with Incomplete Observations. AAAI Spring Symposium: MLPS (2020)
Kailai Xu, Eric Darve
Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. CoRR (2020)
Daniel Z. Huang, Kailai Xu, Charbel Farhat, Eric Darve
Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. 416 (2020)
Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve
Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. CoRR (2020)
Kailai Xu, Eric Darve
ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. CoRR (2020)
Kailai Xu, Daniel Z. Huang, Eric Darve
Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR (2020)
Kailai Xu, Weiqiang Zhu, Eric Darve
Distributed Machine Learning for Computational Engineering using MPI. CoRR (2020)
Kailai Xu, Eric Darve
Calibrating Multivariate Lévy Processes with Neural Networks. MSML (2020)
Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR (2020)
Kailai Xu, Eric Darve
Adversarial Numerical Analysis for Inverse Problems. CoRR (2019)
Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris
Learning Hidden Dynamics using Intelligent Automatic Differentiation. CoRR (2019)
Kailai Xu, Eric Darve
Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. CoRR (2018)
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)