/ Publications

Publications

Title Author Date Journal Publication
Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics Gun-Hee Lee, Seong-Whan Lee 2021-10-11 ICCV 2021 Korea Uni.
Robustifying Multi-hop QA through Pseudo-Evidentiality Training Kyungjae Lee, Seung-won Hwang, Sang-eun Han, Dohyeon Lee 2021-10-02 ACL 2021 Yonsei Uni., Seoul National Uni.
Explaining the Decisions of Deep Policy Networks for Robotic Manipulations Seongun Kim and Jaesik Choi 2021-10-01 IEEE 2022 KAIST
Interpretation of Lesional Detection via Counterfactual Generation Junho Kim, Minsu Kim, Yong Man Ro 2021-09-19 IEEE ICIP 2021 KAIST
Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes Sohee Cho, Wonjoon Chang, Ginkyeng Lee, Jaesik Choi 2021-08-14 KDD 2021 KAIST, UNIST, INEEJI
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim 2021-07-21 ICML 2021 KAIST, Quebec AI Institute, McGill University, Gauss Labs, Facebook AI Research
Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection Qin Xie, Peng Zhang, Boseon Yu and Jaesik Choi 2021-07-21 IEEE 2022 UNIST, KAIST
Conditional Temporal Neural Process with Covariance Loss Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi 2021-07-18 ICML 2021 KAIST, UNIST, INEEJI
Predicting potentially hazardous chemical reactions using an explainable neural network Juhwan Kim, Geun Ho Gu, Juhwan Noh, Seongun Kim, Suji Gim, Jaesik Choi and Yousung Jung 2021-07-13 Chem 2021 KAIST, Korea Uni., Samsung Electronics
Automatic Correction of Internal Units in Generative Neural Networks Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi 2021-06-23 CVPR-2021 KAIST, UNIST, INEEJI