KIAS Center for AI and Natural Sciences Workshop
November 23 - 25, 2023 Commodore Hotel, Gyeongju |
Program | Home > Program |
Program
November 23 (Thu.)
Speaker | Title | |
Min-hwan Oh (SNU) | ||
Jaeyong Lee | ||
Jun Sur park | Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations |
|
Eunho Koo | ||
Sangwoong Yoon | ||
Geonho Hwang |
Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach |
November 24 (Fri.)
Speaker | Title | |
Dohyun Kwon (UoS) |
De Giorgi's minimizing movements and applications of optimal transport |
|
Jaewoong Choi | ||
Yung-Kyun Noh (HYU) | Addressing High-dimensional Biases in Information-theoretic Measure Estimators and Its Applications to Machine Learning |
|
Yeachan Park | A suboptimal local minimum exists in two-layer neural Networks with general smooth activation functions |
|
Ji Woong Yu |
Machine Learning Force Field (MLFF): Towards the Most Balanced Force Field |
November 25 (Sat.)
Speaker | Title | |
Sungyoon Lee (HYU) | ||
Yonghyeon Lee |
Motion Manifold Primitives: toward diverse object-centric motion generation |
|
Daeseong Yong |
Physics-informed Neural Networks for Polymer Self-consistent Field Theory |
|
Thomas Dieter Flacke |
Uncovering doubly charged scalars with dominant three-body decays using machine learning |
|
Jaesung Choi | Unsupervised Separation of Deterministic and Noise Components in Time Series using Echo State Networks |