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Our work, Automatic Correction of Internal Units in Generative Neural Networks written by Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi and Jaesik Choi, presented in CVPR-21 is appeared in the media. Korea: KAIST ‘AI 실수’ 바로잡는 수리기술 개발 http://www.aitimes.kr/news/articleView.html?idxno=21465… Continue Reading →
Our lab is hosting with the PHM Asia Pacific Data Challenge (Chair: Prof. Jaesik Choi, Supporting Staff: Seijun Chung and Seongyeop Jeong) with colleagues. Please consider participating the carefully prepared competition! Data Challenge
Our paper, Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes, written by Sohee Cho, Wonjoon Chang, Ginkyeng Lee and Jaesik Choi is accepted at KDD-2021.
Our paper, Learning Basis Functions of Deep Predictive Neural Networks with Global Spatio-Temporal Covariance Loss, written by Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim and Jaesik Choi is accepted at ICML-2021.
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 →
