KiJung Yoon

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Connection Weights

Probabilistic Graphical Models

Multi Layer Neural Network

Top Venues

ICLR (Workshop)

Publications

Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyeol Jung, KiJung Yoon
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. IEEE Access 11 (2023)
Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access 10 (2022)
Hyungeun Lee, Hyunmok Park, KiJung Yoon
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. CoRR (2022)
KiJung Yoon, A. Emin Orhan, Juhyun Kim, Xaq Pitkow
Two-argument activation functions learn soft XOR operations like cortical neurons. CoRR (2021)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in Probabilistic Graphical Models by Graph Neural Networks. ACSSC (2019)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in probabilistic graphical models by Graph Neural Networks. ICLR (Workshop) (2018)
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow
Inference in Probabilistic Graphical Models by Graph Neural Networks. CoRR (2018)
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
Reviving and Improving Recurrent Back-Propagation. ICML (2018)
Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel
Reviving and Improving Recurrent Back-Propagation. CoRR (2018)