Statistical Artificial Intelligence Lab@KAIST

Artificial Intelligence and Machine Learning Research ⛵️

Author

pail

[Paper] Explainable AI for robotic control: our paper is accepted at IROS-21

Our paper “Explaining the Decisions of Deep Policy Networks for Robotic Manipulations” written by Seongun Kim and Jaesik Choi is accepted to be presented at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)!

[Paper] Our paper is accepted at IEEE Transactions on Neural Networks and Learning Systems [IF 8.793]

Our paper “Semi-Supervised Training of Deep Generative Models for High-Dimensional Anomaly Detection” written by Qin Xie, Peng Zhang, Boseon Yu, Jaesik Choi is accepted to be published at IEEE Transactions on Neural Networks and Learning Systems!

[News] Our work, automatic correction of internal models of GANs, is appeared in the media

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 →

[PHM Asia Pacific] We are hosting the data challenge at PHM Asia Pacific

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

[Paper] Our paper is accepted at ACM SIGKDD-21

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.

[Paper] Our paper is accepted at ICML-21

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.

[Paper] Our paper is accepted at CVPR-21

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 →

[Paper] Our paper is accepted at ACS Analytical Chemistry

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 →

[PhD] Anh Tong successfully defended his PhD thesis

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)!

[Award] Our team won (1st place) the AI Electricity Generation Competition of Korea East West Power

Our team won the AI competition (the 1st place in the general (non-commercial) track) hosted by the Korea East West Power.

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