Ilsang Ohn - RankMe

19 papers A* 3Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nonparametric Estimation of a Factorizable Density using Diffusion Models. J. Mach. Learn. Res. Hyeok Kyu Kwon, Dongha Kim, Ilsang Ohn, Minwoo Chae
2025	J	`jnl`	Knowledge Distillation of Uncertainty using Deep Latent Factor Model. CoRR Sehyun Park, Jongjin Lee, Yunseop Shin, Ilsang Ohn, Yongdai Kim
2025	J	`jnl`	Online Conformal Inference with Retrospective Adjustment for Faster Adaptation to Distribution Shift. CoRR Jungbin Jun, Ilsang Ohn
2024	A*	`conf`	IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. AAAI Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim
2023	J	`jnl`	A Bayesian sparse factor model with adaptive posterior concentration. CoRR Ilsang Ohn, Lizhen Lin, Yongdai Kim
2023	J	`jnl`	Intrinsic and extrinsic deep learning on manifolds. CoRR Yihao Fang, Ilsang Ohn, Vijay Gupta, Lizhen Lin
2023	A*	`conf`	Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. ICML Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim
2023	J	`jnl`	Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. CoRR Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim
2022	A*	`conf`	Learning fair representation with a parametric integral probability metric. ICML Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
2022	J	`jnl`	Learning fair representation with a parametric integral probability metric. CoRR Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
2022	J	`jnl`	Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality. Neural Comput. Ilsang Ohn, Yongdai Kim
2022	J	`jnl`	SLIDE: A surrogate fairness constraint to ensure fairness consistency. Neural Networks Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
2022	J	`jnl`	SLIDE: a surrogate fairness constraint to ensure fairness consistency. CoRR Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
2022	J	`jnl`	The convergent Indian buffet process. CoRR Ilsang Ohn
2021	J	`jnl`	Fast convergence rates of deep neural networks for classification. Neural Networks Yongdai Kim, Ilsang Ohn, Dongha Kim
2020	J	`jnl`	Nonconvex sparse regularization for deep neural networks and its optimality. CoRR Ilsang Ohn, Yongdai Kim
2019	J	`jnl`	Smooth Function Approximation by Deep Neural Networks with General Activation Functions. Entropy Ilsang Ohn, Yongdai Kim
2019	J	`jnl`	Smooth function approximation by deep neural networks with general activation functions. CoRR Ilsang Ohn, Yongdai Kim
2018	J	`jnl`	Fast convergence rates of deep neural networks for classification. CoRR Yongdai Kim, Ilsang Ohn, Dongha Kim