Seminar
2023
Date
Speaker
Affilation
Title (click for more info.)
Place
Time
01/13/2023
Prof. Byungjoon Lee
Catholic Univ.
Local Lipschitz constant : A tool for determination of learning rates in DNNs
31351A
14:00
02/17/2023
Prof. Dongwook Shin
Ajou Univ.
31351A
14:00
03/13/2023
Prof. Min Hyung Cho
UMass, Lowell
32356
14:00
04/17/2023
Prof. Jaemin Shin
Chungbuk Univ.
32356
14:00
04/24/2023
Prof. Hyun-Myung Woo
INU(Incheon)
Accelerating Objective-driven Optimal Experimental Design using Machine Learning
32356
14:00
07/17/2023
Prof. Jeonghun Lee
Baylor Univ.
32356
14:00
2022
Date
Speaker
Affilation
Title (click for more info.)
Place
Time
08/05/2022
Ph.D. Seungchan Ko
SKKU
32356
14:00-15:00
08/12/2022
Ph.D. Seungchan Ko
SKKU
32356
15:00-16:00
08/19/2022
Ph.D. Seungchan Ko
SKKU
32356
15:00-16:00
09/02/2022
Ph.D. Yunchang Seol
SKKU
32356
14:00-15:00
09/16/2022
Prof. Namjung Kim
Gachon Univ.
AORC
Seminar room
15:20
09/23/2022
Ph.D. Jae Yong Lee
KIAS
Two approaches using Deep Learning
to partial differential equations
32356
14:00
10/14/2022
Ph.D. Sangkwon Kim
Korea Univ.
Numerical methods
for the vector-valued Allen-Cahn (vAC)
with high-order polynomial free energy
32356
14:00
10/21/2022
Prof. Seung Yeon Cho
GNU
High order conservative semi-Lagrangian schemes for a general consistent BGK model
for inert gas mixtures
32356
14:00
10/28/2022
Ph.D. Seungchan Ko
SKKU
A novel approach for wafer defect pattern classification based on topological data analysis
32356
14:00
11/04/2022
Myeong-Su Lee
SKKU
Neural Tangent Kernel
32356
14:00
11/11/2022
Ph.D. Sungyoon Lee
KIAS
Optimization and Generalization
32356
14:00
11/18/2022
Ph.D. Yeachan Park
KIAS
Does a local minimum exist in a neural network with arbitrary activation functions?
32356
14:00
12/16/2022
Ph.D. Seungchan Ko
SKKU
31351
14:00
12/30/2022
김수호, 정민우
KIAS
GNN overview and ongoing research
31351A
14:00