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20112026
most citedDeep Network Approximation for Smooth Functions

196 citations · 1.6k across the 143 of their papers we have counts for

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Showing 2019 · math.NAShow all

5 papers · 2 filters

math.NA2019★ 7 cited

Universal approximation of symmetric and anti-symmetric functions

Jiequn Han, Yingzhou Li, Lin Lin +3

We consider universal approximations of symmetric and anti-symmetric functions, which are important for applications in quantum physics, as well as other scientific and engineering…

math.NA2019★ 52 cited

Fisher information regularization schemes for Wasserstein gradient flows

Wuchen Li, Jianfeng Lu, Li Wang

We propose a variational scheme for computing Wasserstein gradient flows. The scheme builds upon the Jordan--Kinderlehrer--Otto framework with the Benamou-Brenier's dynamic formula…

math.NA2019

A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient

Ke Chen, Qin Li, Jianfeng Lu +1

Random sampling has been used to find low-rank structure and to build fast direct solvers for multiscale partial differential equations of various types. In this work, we design an…

math.NA2019★ 1 cited

Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares

Ziang Chen, Yingzhou Li, Jianfeng Lu

In this work, we study the tensor ring decomposition and its associated numerical algorithms. We establish a sharp transition of algorithmic difficulty of the optimization problem…

math.NA2019★ 38 cited

Variational training of neural network approximations of solution maps for physical models

Yingzhou Li, Jianfeng Lu, Anqi Mao

A novel solve-training framework is proposed to train neural network in representing low dimensional solution maps of physical models. Solve-training framework uses the neural netw…