no code implementations • 21 Nov 2023 • Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyul Jung, Miseon Park, KiJung Yoon
Multivariate time series is prevalent in many scientific and industrial domains.
no code implementations • 19 Nov 2023 • Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee
Scaling laws have allowed Pre-trained Language Models (PLMs) into the field of causal reasoning.
no code implementations • 16 Jun 2023 • Albert W. Reed, Juhyeon Kim, Thomas Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya
However, image formation is typically under-constrained due to a limited number of measurements and bandlimited hardware, which limits the capabilities of existing reconstruction methods.
1 code implementation • 15 Oct 2022 • Changwoon Choi, Juhyeon Kim, Young Min Kim
However, they are limited to representing isolated objects with a shared environment lighting, and suffer from computational burden to aggregate rays with Monte Carlo integration.
no code implementations • 31 Aug 2022 • Juhyeon Kim, Joonsuk Huh, Daniel K. Park
We perform numerical simulations of QCNN models with various sets of quantum convolution and pooling operations for MNIST data classification under transfer learning, in which a classical CNN is trained with Fashion-MNIST data.
1 code implementation • 12 Nov 2020 • Juhyeon Kim, Kihyun Kim
We propose a novel approach to optimize fleet management by combining multi-agent reinforcement learning with graph neural network.