no code implementations • 17 Mar 2024 • Suyong Park, Duc Giap Nguyen, Jinrak Park, Dohee Kim, Jeong Soo Eo, Kyoungseok Han
This study presents a method for deep neural network nonlinear model predictive control (DNN-MPC) to reduce computational complexity, and we show its practical utility through its application in optimizing the energy management of hybrid electric vehicles (HEVs).
1 code implementation • 29 Jun 2023 • Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim
We introduce NaturalInversion, a novel model inversion-based method to synthesize images that agrees well with the original data distribution without using real data.
no code implementations • 30 Nov 2022 • Sunghyun Sim, Dohee Kim, Hyerim Bae
However, because this approach is learned in an independent model for each component, it cannot learn the relationships between time-series components.
1 code implementation • 2 Jul 2022 • Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
This paper presents CoVA, a novel cascade architecture that splits the cascade computation between compressed domain and pixel domain to address the decoding bottleneck, supporting both temporal and spatial queries.