13 citations · 16 across the 4 of their papers we have counts for
5 papers
Deep Learning-based Surrogate Modelling of the LOD Method for Multiscale Problems
Marc Haltmayer, Jaemin Seo, Yuseung Lee +3
Multiscale problems are notoriously difficult to tackle using traditional numerical methods, as accurately resolving fine-scale features often requires prohibitively fine discretiz…
Neural Graph Simulator for Complex Systems
Hoyun Choi, Sungyeop Lee, B. Kahng +1
Numerical simulation is a predominant tool for studying the dynamics in complex systems, but large-scale simulations are often intractable due to computational limitations. Here, w…
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
Hoyun Choi, Sungyeop Lee, B. Kahng +1
Neural networks have proven to be efficient surrogate models for tackling partial differential equations (PDEs). However, their applicability is often confined to specific PDEs und…
Scale-invariant representation of machine learning
Sungyeop Lee, Junghyo Jo
The success of machine learning has resulted from its structured representation of data. Similar data have close internal representations as compressed codes for classification or…
Information flows of diverse autoencoders
Sungyeop Lee, Junghyo Jo
The outstanding performance of deep learning in various fields has been a fundamental query, which can be potentially examined using information theory that interprets the learning…