Showing results 10 to 15 of 15
On a near optimal sampling strategy for least squares polynomial regression Shin, Yeonjong; Xiu, Dongbin, JOURNAL OF COMPUTATIONAL PHYSICS, v.326, pp.931 - 946, 2016-12 |
On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs Shin, Yeonjong; Darbon, Jerome; Karniadakis, George Em, COMMUNICATIONS IN COMPUTATIONAL PHYSICS, v.28, no.5, pp.2042 - 2074, 2020-11 |
PLATEAU PHENOMENON IN GRADIENT DESCENT TRAINING OF RELU NETWORKS: EXPLANATION, QUANTIFICATION, AND AVOIDANCE Ainsworth, Mark; Shin, Yeonjong, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.43, no.5, pp.A3438 - A3468, 2021 |
Sequential function approximation with noisy data Shin, Yeonjong; Wu, Kailiang; Xiu, Dongbin, JOURNAL OF COMPUTATIONAL PHYSICS, v.371, pp.363 - 381, 2018-10 |
SPARSE APPROXIMATION USING l(1)-l(2) MINIMIZATION AND ITS APPLICATION TO STOCHASTIC COLLOCATION Yan, Liang; Shin, Yeonjong; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.1, pp.A229 - A254, 2017 |
TRAINABILITY OF ReLU NETWORKS AND DATA-DEPENDENT INITIALIZATION Shin, Yeonjong; Karniadakis, George Em, Journal of Machine Learning for Modeling and Computing, v.1, no.1, pp.39 - 74, 2020 |
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