Yohan Jung

11 papers A* 2A 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Compact Memory for Continual Logistic Regression. CoRR Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan
2025	A	`conf`	Flat Posterior Does Matter For Bayesian Model Averaging. UAI Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song
2024	J	`jnl`	Flat Posterior Does Matter For Bayesian Transfer Learning. CoRR Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song
2023	A	`conf`	Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. AISTATS Yohan Jung, Jinkyoo Park
2022	J	`jnl`	Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. CoRR Yohan Jung, Jinkyoo Park
2022	A*	`conf`	Efficient Approximate Inference for Stationary Kernel on Frequency Domain. ICML Yohan Jung, Kyungwoo Song, Jinkyoo Park
2022	J	`jnl`	Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission. J. Comput. Graph. Stat. Yohan Jung, Jinkyoo Park
2021	A*	`conf`	Implicit Kernel Attention. AAAI Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
2020	J	`jnl`	Approximate Inference for Spectral Mixture Kernel. CoRR Yohan Jung, Kyungwoo Song, Jinkyoo Park
2020	J	`jnl`	Implicit Kernel Attention. CoRR Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon
2020	J	`jnl`	Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering. CoRR Yohan Jung, Jinkyoo Park