Ilsang Ohn

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Sparsity Regularization

Activation Function

Top Venues

Neural Networks

Publications

Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. AAAI (2024)
Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. ICML (2023)
Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. CoRR (2023)
Yihao Fang, Ilsang Ohn, Vijay Gupta, Lizhen Lin
Intrinsic and extrinsic deep learning on manifolds. CoRR (2023)
Ilsang Ohn, Lizhen Lin, Yongdai Kim
A Bayesian sparse factor model with adaptive posterior concentration. CoRR (2023)
Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Yongdai Kim
Masked Bayesian Neural Networks : Computation and Optimality. CoRR (2022)
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
Learning fair representation with a parametric integral probability metric. CoRR (2022)
Ilsang Ohn
The convergent Indian buffet process. CoRR (2022)
Ilsang Ohn, Yongdai Kim
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality. Neural Comput. 34 (2) (2022)
Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
SLIDE: a surrogate fairness constraint to ensure fairness consistency. CoRR (2022)
Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim
SLIDE: A surrogate fairness constraint to ensure fairness consistency. Neural Networks 154 (2022)
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
Learning fair representation with a parametric integral probability metric. ICML (2022)
Yongdai Kim, Ilsang Ohn, Dongha Kim
Fast convergence rates of deep neural networks for classification. Neural Networks 138 (2021)
Ilsang Ohn, Yongdai Kim
Nonconvex sparse regularization for deep neural networks and its optimality. CoRR (2020)
Ilsang Ohn, Yongdai Kim
Smooth function approximation by deep neural networks with general activation functions. CoRR (2019)
Ilsang Ohn, Yongdai Kim
Smooth Function Approximation by Deep Neural Networks with General Activation Functions. Entropy 21 (7) (2019)
Yongdai Kim, Ilsang Ohn, Dongha Kim
Fast convergence rates of deep neural networks for classification. CoRR (2018)