Author
pail
A paper authored by our lab members is accepted at CVPR-21. – Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi and Jaesik Choi, Automatic Correction of Internal Units in Generative Neural Networks, IEEE/CVF Conference on Computer Vision and Pattern Recognition… Continue Reading →
A paper, Prof. Jaesik Choi worked as a co-corresponding author, is accepted at ACS Analytical Chemistry [IF 6.785] Hyunbin Kim, Hae Nim Lee, Jaesik Choi*, Jihye Seong*, Spatiotemporal characterization of GPCR activity and function during endosomal trafficking pathway, ACS Analytical… Continue Reading →
Anh Tong successfully defended his PhD thesis, first in the lab! Congratulations Dr. Tong! With SAIL members, Anh has led to publish 5 papers in top AI conferences (ICML, IJCAI and AAAI)!
Our team won the AI competition (the 1st place in the general (non-commercial) track) hosted by the Korea East West Power.
SAIL members, Kyunghwan, Cheongwoong and Soonjae, won the second award at the 2020 ETRI Open API Use Case Contest Competition! Congratulations!! https://aiopen.etri.re.kr/intro_notice_view.php?wr_id=90
Three papers authored by our lab members are accepted at AAAI-21. – Anh Tong, Toan Tran, Hung Bui and Jaesik Choi, Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior, AAAI Conference on Artificial Intelligence (AAAI), 2021. – Anh Tong… Continue Reading →
안녕하십니까? KAIST 설명가능인공지능 연구센터는 과학기술정보통신부의 후원으로 설립된 연구센터로, 지난 2020년 1월 한국과학기술원에 새 터전을 마련하고 고려대학교, 서울대학교, 연세대학교, UNIST와 AITRICS 소속 250여명의 연구원들이 세계적 수준의 연구를 진행하고 있으며, 미국 DARPA, 독일 베를린 빅데이터 센터등 해외 기관과도 활발하게 교류하고 있습니다. 본… Continue Reading →
Prof. Choi’s online lecture will be broadcasted at 8pm (KST) in the following link, Youtube – https://www.youtube.com/watch?v=MMQjmeTmoxQ NAVER – https://tv.naver.com/kaos https://ikaos.org/kaos/apply/view.php?kc_idx=79 Intro Video: https://www.youtube.com/watch?v=7Czt2xTQNmY
KAIST AI대학원 성남연구센터 제1회 기술설명회가 2020년 10월 16일 금요일 13:00~18:00에 개최됩니다. 본 설명회는 Zoom을 이용해 온라인으로 개최됩니다. 사전신청을 통해 참가신청을 받고 있으며, 신청자에 한하여 개별상담도 진행됩니다. 포스터의 QR코드 또는 아래의 링크를 통해 사전신청이 가능합니다. – 사전 신청 링크: http://gg.gg/KAISTGSAI
A paper is accepted at ICAIF-2020. Youngjin Park, Deokjun Eom, and Jaesik Choi, Improved Predictive Deep Temporal Neural Networks with Trend Filtering, ICAIF-2020
