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Yeonjong Shin

Korea Advanced Institute of Science and Technology (KAIST) - Korea Advanced Institute of Science and Technology (KAIST), Students

SCHOLARLY PAPERS

4

DOWNLOADS

207

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Accelerating Gradient Descent and Adam Via Fractional Gradients

Number of pages: 28 Posted: 08 Jul 2022
Yeonjong Shin, Jérôme Darbon and George Em Karniadakis
Korea Advanced Institute of Science and Technology (KAIST) - Korea Advanced Institute of Science and Technology (KAIST), Students, Brown University and Brown University
Downloads 177 (428,796)

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Caputo fractional derivative, Non-local calculus, optimization, Adam, Neural Networks

2.

A Parallel and Adaptive Mesh-Free method for Heterogeneous Porous Media

Number of pages: 26 Posted: 17 May 2026
Kapil Chawla, Sanghyun Lee and Yeonjong Shin
Florida State University, Florida State University and Korea Advanced Institute of Science and Technology (KAIST) - Korea Advanced Institute of Science and Technology (KAIST), Students
Downloads 15 (1,500,778)

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Permeability reconstruction, Mesh-independent representation, Adaptive RBF approximation, Parallel computation, Regression

3.

A Parallel and Adaptive Mesh-Free Method for Discontinuous Coefficient Fields in Heterogeneous Porous Media

Number of pages: 26 Posted: 27 May 2026
Kapil Chawla, Sanghyun Lee and Yeonjong Shin
Florida State University, Florida State University and Korea Advanced Institute of Science and Technology (KAIST) - Korea Advanced Institute of Science and Technology (KAIST), Students
Downloads 10 (1,541,665)

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4.

WGFINNs: Weak formulation-based GENERIC formalism informed neural networks

Number of pages: 31 Posted: 04 Apr 2026
Jun Sur Richard Park, Auroni Huque Hashim, Siu Wun Cheung, Youngsoo Choi and Yeonjong Shin
affiliation not provided to SSRN, North Carolina State University, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory and Korea Advanced Institute of Science and Technology (KAIST) - Korea Advanced Institute of Science and Technology (KAIST), Students
Downloads 5 (1,571,455)

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data-driven discovery, GENERIC formalism, interpretable scientific machine learning, weak formulation