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Semantic ScholarWeinan E
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- affiliation: Beijing Institute of Big Data Research, China
- affiliation: Princeton University, USA
- affiliation: Peking University, China
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2010 – today
- 2018
[i16]Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E:
Understanding and Enhancing the Transferability of Adversarial Examples. CoRR abs/1802.09707 (2018)- 2017
- [c4]Qianxiao Li, Cheng Tai, Weinan E:
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms. ICML 2017: 2101-2110 - [i15]Weinan E, Jiequn Han, Arnulf Jentzen:
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations. CoRR abs/1706.04702 (2017) - [i14]Lei Wu, Zhanxing Zhu, Weinan E:
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes. CoRR abs/1706.10239 (2017) - [i13]Jiequn Han, Arnulf Jentzen, Weinan E:
Overcoming the curse of dimensionality: Solving high-dimensional partial differential equations using deep learning. CoRR abs/1707.02568 (2017) - [i12]Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E:
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR abs/1707.09571 (2017) - [i11]Christian Beck, Weinan E, Arnulf Jentzen:
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations. CoRR abs/1709.05963 (2017) - [i10]Weinan E, Bing Yu:
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems. CoRR abs/1710.00211 (2017) - [i9]Qianxiao Li, Long Chen, Cheng Tai, Weinan E:
Maximum Principle Based Algorithms for Deep Learning. CoRR abs/1710.09513 (2017) - [i8]Linfeng Zhang, Han Wang, Weinan E:
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology. CoRR abs/1712.03461 (2017) - [i7]Han Wang, Linfeng Zhang, Jiequn Han, Weinan E:
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR abs/1712.03641 (2017) - 2016
- [j17]Cheng Tai, Weinan E:
Multiscale Adaptive Representation of Signals: I. The Basic Framework. Journal of Machine Learning Research 17: 140:1-140:38 (2016) - [c3]Chu Wang, Qianxiao Li, Weinan E, Bernard Chazelle:
Noisy Hegselmann-Krause systems: Phase transition and the 2R-conjecture. CDC 2016: 2632-2637 - [i6]Jiequn Han, Weinan E:
Deep Learning Approximation for Stochastic Control Problems. CoRR abs/1611.07422 (2016) - 2015
- [i5]Cheng Tai, Weinan E:
Multiscale Adaptive Representation of Signals: I. The Basic Framework. CoRR abs/1507.04835 (2015) - [i4]Chu Wang, Yingfei Wang, Weinan E, Robert E. Schapire:
Functional Frank-Wolfe Boosting for General Loss Functions. CoRR abs/1510.02558 (2015) - [i3]Cheng Tai, Tong Xiao, Xiaogang Wang, Weinan E:
Convolutional neural networks with low-rank regularization. CoRR abs/1511.06067 (2015) - [i2]Qianxiao Li, Cheng Tai, Weinan E:
Dynamics of Stochastic Gradient Algorithms. CoRR abs/1511.06251 (2015) - 2014
- [c2]
- 2013
- [j16]Lin Lin, Sihong Shao, Weinan E:
Efficient iterative method for solving the Dirac-Kohn-Sham density functional theory. J. Comput. Physics 245: 205-217 (2013) - 2012
- [j15]Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E:
Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation. J. Comput. Physics 231(4): 2140-2154 (2012) - [j14]Lin Lin, Jianfeng Lu, Lexing Ying, Weinan E:
Optimized local basis set for Kohn-Sham density functional theory. J. Comput. Physics 231(13): 4515-4529 (2012) - [i1]
- 2011
- [j13]
- [j12]Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Weinan E:
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations. SIAM J. Scientific Computing 33(3): 1329-1351 (2011) - [j11]Lin Lin, Chao Yang, Juan C. Meza, Jianfeng Lu, Lexing Ying, Weinan E:
SelInv - An Algorithm for Selected Inversion of a Sparse Symmetric Matrix. ACM Trans. Math. Softw. 37(4): 40:1-40:19 (2011) - [c1]Jingchen Liu, Rohit Patra, Xiang Zhou, Weinan E:
Failure of random materials: a large deviation and computational study. Winter Simulation Conference 2011: 3784-3794 - 2010
- [j10]Ling Lin, Xiuyuan Cheng, Weinan E, An-Chang Shi, Pingwen Zhang:
A numerical method for the study of nucleation of ordered phases. J. Comput. Physics 229(5): 1797-1809 (2010) - [j9]Xiantao Li, Jerry Z. Yang, Weinan E:
A multiscale coupling method for the modeling of dynamics of solids with application to brittle cracks. J. Comput. Physics 229(10): 3970-3987 (2010)
2000 – 2009
- 2009
- [j8]Weinan E, Weiqing Ren, Eric Vanden-Eijnden:
A general strategy for designing seamless multiscale methods. J. Comput. Physics 228(15): 5437-5453 (2009) - 2007
- [j7]Weinan E, Di Liu, Eric Vanden-Eijnden:
Nested stochastic simulation algorithms for chemical kinetic systems with multiple time scales. J. Comput. Physics 221(1): 158-180 (2007) - [j6]Xingye Yue, Weinan E:
The local microscale problem in the multiscale modeling of strongly heterogeneous media: Effects of boundary conditions and cell size. J. Comput. Physics 222(2): 556-572 (2007) - [j5]Shanqin Chen, Weinan E, Yunxian Liu, Chi-Wang Shu:
A discontinuous Galerkin implementation of a domain decomposition method for kinetic-hydrodynamic coupling multiscale problems in gas dynamics and device simulations. J. Comput. Physics 225(2): 1314-1330 (2007) - 2005
- [j4]Shanqin Chen, Weinan E, Chi-Wang Shu:
The Heterogeneous Multiscale Method Based on the Discontinuous Galerkin Method for Hyperbolic and Parabolic Problems. Multiscale Modeling & Simulation 3(4): 871-894 (2005) - 2002
- [j3]Weinan E, Jian-Guo Liu:
Projection method III: Spatial discretization on the staggered grid. Math. Comput. 71(237): 27-47 (2002) - 2001
- [j2]Jian-Guo Liu, Weinan E:
Simple finite element method in vorticity formulation for incompressible flows. Math. Comput. 70(234): 579-593 (2001) - 2000
- [j1]Weinan E, Xiao-Ping Wang:
Numerical Methods for the Landau-Lifshitz Equation. SIAM J. Numerical Analysis 38(5): 1647-1665 (2000)
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last updated on 2018-03-05 23:57 CET by the dblp team