2018 CSE Winter school, 2018.01.08-11, Sonofellce
This program in the winter school is intended to give graduate students and young researchers the opportunity to get an insight into the current issues on Deep Learning.
|
Key DatesWinter School: 8 – 11 Jan. 2018 Registration Online registration: NOW OPEN Early bird: Now – 15 Dec. 2018 |
Keynote & Invited talksRoom : Tower Center 3F. Zaffiro
- Date : 2018.01.09 (Tue.) 08:20-09:00 Keynote talk (최병욱) 09:00-11:00 Invited talks (이상휘, 강병곤, 이준구) - Date : 2018.01.10 (Wed.) 08:20-09:00 Keynote talk (예종철) 09:00-11:00 Invited talks (정규환, 박해정, 이재성) - Date : 2018.01.11 (Thu.) 08:20-11:00 Invited talks (백종덕, 황도식, 류강현, 이성민, 김화평) |
Tutorial lecturesRoom : Tower Center 3F. Zaffiro
- Date : 2018.01.08 (Mon.) 19:00-19:30 Overview of Machine Learning (김하영) 19:30-21:00 Basics of Deep Learning (김강철, 이성민, 김부권) - Date : 2018.01.09 (Tue.) 19:00-19:50 기초 강화학습 (이승철) 20:00-21:00 초짜 대학원생 입장에서 이해하는 Generative Adversarial Nets (유재준) - Date : 2018.01.10 (Wed.) 19:00-19:50 Practical Deep Learning Techniques 1 (김부권, 김화평) 20:00-21:00 Deep Learning Techniques 2 (김화평, 현창민) |
Keynote Speakers
|
|
Invited Speakers
Dictionary-based Sense Embedding
Numerical Observer: Solution for Image Quality Assessment of Nonlinear Reconstruction The Need for Automated 3D Cephalometry & Machine Learning Deep Learning Based Medical Imaging Applications Deep Learning for Medical Image Analysis Human Intelligence and Deep learning Deep learning for nuclear medicine imaging |
Speakers
류강현 (연세대 전기전자공학과)
이성민 (연세대 계산과학공학과) 김화평 (연세대 계산과학공학과) |
Synthetic MRI using Deep Learning Approach
Deep learning for CT sinogram correction Deep learning for Medical Imaging |
Tutorial lectures : Deep Learning Basics & Recent Progress
김하영 (아주대 금융공학과)
이승철 (연세대 수학과 & 계산과학공학과) 유재준 (KAIST 바이오및뇌공학과) 김강철, 이성민, 김부권 (연세대 계산과학공학과) 김부권, 김화평, 현창민 (연세대 계산과학공학과) |
Overview of Deep Learning
기초 강화학습 초짜 대학원생 입장에서 이해하는 Generative Adversarial Nets 딥러닝 기초 Deep Learning Techniques 1,2 |