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 15 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

Learning Harmonic Molecular Representations on Riemannian Manifold.
Proceedings of the Eleventh International Conference on Learning Representations, 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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