Yohan Jung

According to our database, Yohan Jung authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Flat Posterior Does Matter For Bayesian Transfer Learning.

Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

CoRR, 2024

2023

Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior.

Yohan Jung, Jinkyoo Park

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission.

Yohan Jung, Jinkyoo Park

J. Comput. Graph. Stat., July, 2022

Efficient Approximate Inference for Stationary Kernel on Frequency Domain.

Yohan Jung, Kyungwoo Song, Jinkyoo Park

Proceedings of the International Conference on Machine Learning, 2022

2021

Implicit Kernel Attention.

Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Approximate Inference for Spectral Mixture Kernel.

Yohan Jung, Kyungwoo Song, Jinkyoo Park

CoRR, 2020

Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering.

Yohan Jung, Jinkyoo Park

CoRR, 2020