Shi Chen

Orcid: 0000-0003-0556-3542

Affiliations:
  • University of Wisconsin-Madison, Department of Mathematics, Madison, WI, USA


According to our database1, Shi Chen authored at least 14 papers between 2020 and 2024.

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Bibliography

2024
Bayesian sampling using interacting particles.
CoRR, 2024

A Good Score Does not Lead to A Good Generative Model.
CoRR, 2024

2023
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville.
SIAM J. Imaging Sci., March, 2023

Accelerating optimization over the space of probability measures.
CoRR, 2023

Correcting auto-differentiation in neural-ODE training.
CoRR, 2023

On optimal bases for multiscale PDEs and Bayesian homogenization.
CoRR, 2023

2022
Manifold Learning and Nonlinear Homogenization.
Multiscale Model. Simul., September, 2022

Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis.
J. Mach. Learn. Res., 2022

2021
Classical limit for the varying-mass Schrödinger equation with random inhomogeneities.
J. Comput. Phys., 2021

Low-rank approximation for multiscale PDEs.
CoRR, 2021

A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks.
CoRR, 2021

On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime.
CoRR, 2021

2020
Semi-classical limit of an inverse problem for the Schrödinger equation.
CoRR, 2020

Semi-classical limit for the varying-mass Schrödinger equation with random inhomogeneities.
CoRR, 2020


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