TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. - Seoyoung Hong 001; Minju Jo; Seungji Kook; Jaeeun Jung; Hyowon Wi; Noseong Park; Sung-Bae Cho (IEEE Big Data, 2022)

LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations. - Jaehoon Lee 002; Jinsung Jeon; Sheo Yon Jhin; Jihyeon Hyeong; Jayoung Kim 002; Minju Jo; Seungji Kook; Noseong Park (ICLR, 2022)

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. - Sheo Yon Jhin; Jaehoon Lee 002; Minju Jo; Seungji Kook; Jinsung Jeon; Jihyeon Hyeong; Jayoung Kim 002; Noseong Park (WWW, 2022)

Learnable Path in Neural Controlled Differential Equations. - Sheo Yon Jhin; Minju Jo; Seungji Kook; Noseong Park (AAAI, 2023)

Hawkes Process Based on Controlled Differential Equations. - Minju Jo; Seungji Kook; Noseong Park (IJCAI, 2023)

Learnable Path in Neural Controlled Differential Equations. - Sheo Yon Jhin; Minju Jo; Seungji Kook; Noseong Park; Sungpil Woo; Sunhwan Lim (CoRR, 2023)