activity
20122023
most citedEnsemble Kalman Inversion: mean-field limit and convergence analysis

47 citations · 317 across the 48 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

cs.LG2021★ 2 cited

On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime

Zhiyan Ding, Shi Chen, Qin Li +1

Finding the optimal configuration of parameters in ResNet is a nonconvex minimization problem, but first-order methods nevertheless find the global optimum in the overparameterized…

math.NA2021

Low-rank approximation for multiscale PDEs

Ke Chen, Shi Chen, Qin Li +2

Historically, analysis for multiscale PDEs is largely unified while numerical schemes tend to be equation-specific. In this paper, we propose a unified framework for computing mult…

math.NA2021★ 3 cited

A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks

Shi Chen, Zhiyan Ding, Qin Li +1

Neural networks are powerful tools for approximating high dimensional data that have been used in many contexts, including solution of partial differential equations (PDEs). We des…

math.AP2021

Multiscale convergence of the inverse problem for chemotaxis in the Bayesian setting

Kathrin Hellmuth, Christian Klingenberg, Qin Li +1

Chemotaxis describes the movement of an organism, such as single or multi-cellular organisms and bacteria, in response to a chemical stimulus. Two widely used models to describe th…

math.NA2021

Bridging and Improving Theoretical and Computational Electric Impedance Tomography via Data Completion

Tan Bui-Thanh, Qin Li, Leonardo Zepeda-Núñez

In computational PDE-based inverse problems, a finite amount of data is collected to infer unknown parameters in the PDE. In order to obtain accurate inferences, the collected data…

cs.LG2021

Overparameterization of deep ResNet: zero loss and mean-field analysis

Zhiyan Ding, Shi Chen, Qin Li +1

Finding parameters in a deep neural network (NN) that fit training data is a nonconvex optimization problem, but a basic first-order optimization method (gradient descent) finds a…

math.AP2021★ 21 cited

Local Well-posedness of Vlasov-Poisson-Boltzmann Equation with Generalized Diffuse Boundary Condition

Hongxu Chen, Chanwoo Kim, Qin Li

The Vlasov-Poisson-Boltzmann equation is a classical equation governing the dynamics of charged particles with the electric force being self-imposed. We consider the system in a co…

stat.ML2021★ 1 cited

Constrained Ensemble Langevin Monte Carlo

Zhiyan Ding, Qin Li

The classical Langevin Monte Carlo method looks for samples from a target distribution by descending the samples along the gradient of the target distribution. The method enjoys a…