1 code implementation • 17 Aug 2022 • Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia
Tabular data typically contains private and important information; thus, precautions must be taken before they are shared with others.
1 code implementation • ICLR 2022 • Jaehoon Lee, Jinsung Jeon, Sheo Yon Jhin, Jihyeon Hyeong, Jayoung Kim, Minju Jo, Kook Seungji, Noseong Park
The problem of processing very long time-series data (e. g., a length of more than 10, 000) is a long-standing research problem in machine learning.
no code implementations • 19 Apr 2022 • Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park
Deep learning inspired by differential equations is a recent research trend and has marked the state of the art performance for many machine learning tasks.
no code implementations • 8 Feb 2022 • Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
First, we can further improve the synthesis quality, by decreasing the negative log-density of real records in the process of adversarial training.
1 code implementation • NeurIPS 2021 • Jaehoon Lee, Jihyeon Hyeong, Jinsung Jeon, Noseong Park, Jihoon Cho
First, we can further improve the synthesis quality, by decreasing the negative log-density of real records in the process of adversarial training.
1 code implementation • 31 May 2021 • Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park
Synthesizing tabular data is attracting much attention these days for various purposes.