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 • 12 Nov 2023 • Hyungeun Lee, Ung Hwang, Seungwon Yu, Chang-Hun Lee, KiJung Yoon
Osteoporosis is a widespread and chronic metabolic bone disease that often remains undiagnosed and untreated due to limited access to bone mineral density (BMD) tests like Dual-energy X-ray absorptiometry (DXA).
no code implementations • 14 Sep 2022 • Hyungeun Lee, KiJung Yoon
Graph neural networks (GNNs) have become compelling models designed to perform learning and inference on graph-structured data.
no code implementations • 13 Oct 2021 • KiJung Yoon, Emin Orhan, Juhyun Kim, Xaq Pitkow
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly.
1 code implementation • 21 Mar 2018 • KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard Zemel, Xaq Pitkow
Message-passing algorithms, such as belief propagation, are a natural way to disseminate evidence amongst correlated variables while exploiting the graph structure, but these algorithms can struggle when the conditional dependency graphs contain loops.
1 code implementation • ICML 2018 • Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard Zemel
We examine all RBP variants along with BPTT and TBPTT in three different application domains: associative memory with continuous Hopfield networks, document classification in citation networks using graph neural networks and hyperparameter optimization for fully connected networks.