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Shin, Yeonjong (신연종)
조교수, (수리과학과)
Research Area
Scientific Computing, Machine Learning, Uncertainty Quantification
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Accelerating gradient descent and Adam via fractional gradients

    Shin, Yeonjongresearcher; Darbon, Jerome; Karniadakis, George Em, NEURAL NETWORKS, v.161, pp.185 - 201, 2023-04

    2
    GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems

    Zhang, Zhen; Shin, Yeonjongresearcher; Karniadakis, George Em, PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, v.380, no.2229, 2022-08

    3
    Effects of depth, width, and initialization: A convergence analysis of layer-wise training for deep linear neural networks

    Shin, Yeonjongresearcher, ANALYSIS AND APPLICATIONS, v.20, no.01, pp.73 - 119, 2022-01

    4
    Identification of Corrupted Data via k-Means Clustering for Function Approximation

    Hou, Jun; Shin, Yeonjongresearcher; Xiu, Dongbin, CSIAM TRANSACTIONS ON APPLIED MATHEMATICS, v.2, no.1, pp.81 - 107, 2021-03

    5
    PLATEAU PHENOMENON IN GRADIENT DESCENT TRAINING OF RELU NETWORKS: EXPLANATION, QUANTIFICATION, AND AVOIDANCE

    Ainsworth, Mark; Shin, Yeonjongresearcher, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.43, no.5, pp.A3438 - A3468, 2021

    6
    On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs

    Shin, Yeonjongresearcher; Darbon, Jerome; Karniadakis, George Em, COMMUNICATIONS IN COMPUTATIONAL PHYSICS, v.28, no.5, pp.2042 - 2074, 2020-11

    7
    Dying ReLU and Initialization: Theory and Numerical Examples

    Lu, Lu; Shin, Yeonjongresearcher; Su, Yanhui; et al, COMMUNICATIONS IN COMPUTATIONAL PHYSICS, v.28, no.5, pp.1671 - 1706, 2020-11

    8
    TRAINABILITY OF ReLU NETWORKS AND DATA-DEPENDENT INITIALIZATION

    Shin, Yeonjongresearcher; Karniadakis, George Em, Journal of Machine Learning for Modeling and Computing, v.1, no.1, pp.39 - 74, 2020

    9
    Sequential function approximation with noisy data

    Shin, Yeonjongresearcher; Wu, Kailiang; Xiu, Dongbin, JOURNAL OF COMPUTATIONAL PHYSICS, v.371, pp.363 - 381, 2018-10

    10
    SPARSE APPROXIMATION USING l(1)-l(2) MINIMIZATION AND ITS APPLICATION TO STOCHASTIC COLLOCATION

    Yan, Liang; Shin, Yeonjongresearcher; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.1, pp.A229 - A254, 2017

    11
    A RANDOMIZED TENSOR QUADRATURE METHOD FOR HIGH DIMENSIONAL POLYNOMIAL APPROXIMATION

    Wu, Kailiang; Shin, Yeonjongresearcher; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.5, pp.A1811 - A1833, 2017

    12
    A RANDOMIZED ALGORITHM FOR MULTIVARIATE FUNCTION APPROXIMATION

    Shin, Yeonjongresearcher; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.3, pp.A983 - A1002, 2017

    13
    On a near optimal sampling strategy for least squares polynomial regression

    Shin, Yeonjongresearcher; Xiu, Dongbin, JOURNAL OF COMPUTATIONAL PHYSICS, v.326, pp.931 - 946, 2016-12

    14
    CORRECTING DATA CORRUPTION ERRORS FOR MULTIVARIATE FUNCTION APPROXIMATION

    Shin, Yeonjongresearcher; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.38, no.4, pp.A2492 - A2511, 2016

    15
    NONADAPTIVE QUASI-OPTIMAL POINTS SELECTION FOR LEAST SQUARES LINEAR REGRESSION

    Shin, Yeonjongresearcher; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.38, no.1, pp.A385 - A411, 2016
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