Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering. - Yohan Jung; Jinkyoo Park (CoRR, 2020)

Approximate Inference for Spectral Mixture Kernel. - Yohan Jung; Kyungwoo Song; Jinkyoo Park (CoRR, 2020)

Implicit Kernel Attention. - Kyungwoo Song; Yohan Jung; Dongjun Kim; Il-Chul Moon (AAAI, 2021)

Efficient Approximate Inference for Stationary Kernel on Frequency Domain. - Yohan Jung; Kyungwoo Song; Jinkyoo Park (ICML, 2022)

Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission. - Yohan Jung; Jinkyoo Park (J. Comput. Graph. Stat., 2022)

Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. - Yohan Jung; Jinkyoo Park (AISTATS, 2023)

Flat Posterior Does Matter For Bayesian Transfer Learning. - Sungjun Lim 002; Jeyoon Yeom; Sooyon Kim; Hoyoon Byun; Jinho Kang; Yohan Jung; Jiyoung Jung; Kyungwoo Song (CoRR, 2024)

Flat Posterior Does Matter For Bayesian Model Averaging. - Sungjun Lim 002; Jeyoon Yeom; Sooyon Kim; Hoyoon Byun; Jinho Kang; Yohan Jung; Jiyoung Jung; Kyungwoo Song (UAI, 2025)