no code implementations • 15 Nov 2023 • Keunsu Kim, Hanbaek Lyu, Jinsu Kim, Jae-Hun Jung
We propose a novel methodology for forecasting spatio-temporal data using supervised semi-nonnegative matrix factorization (SSNMF) with frequency regularization.
no code implementations • 2 Dec 2022 • Hyukpyo Hong, Bryan S. Hernandez, Jinsu Kim, Jae Kyoung Kim
This allows us to quantitatively examine how likely it is to obtain WR and ZD after translation depending on the number of species and reactions.
no code implementations • CVPR 2021 • Sunpill Kim, Yunseong Jeong, Jinsu Kim, Jungkon Kim, Hyung Tae Lee, Jae Hong Seo
Convolutional neural networks have made remarkable progress in the face recognition field.
no code implementations • 21 Jan 2021 • Çağlar Kutlu, Arjan F. van Loo, Sergey V. Uchaikin, Andrei N. Matlashov, Doyu Lee, Seonjeong Oh, Jinsu Kim, Woohyun Chung, Yasunobu Nakamura, Yannis K. Semertzidis
By operating the JPA at a gain of 19 dB and cascading it with two cryogenic amplifiers operating at 4 K, noise temperatures as low as 120 mK were achieved for the whole signal detection chain.
Superconductivity Instrumentation and Methods for Astrophysics High Energy Physics - Experiment
no code implementations • 8 Oct 2019 • Jinsu Kim, German Enciso
In this work, we design a type of controller that consists of adding a specific set of reactions to an existing mass-action chemical reaction network in order to control a target species.