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ORCIDIlsang Ohn
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Journal Articles
- 2022
[j4]Ilsang Ohn, Yongdai Kim:
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality. Neural Comput. 34(2): 476-517 (2022)- [j3]Kunwoong Kim, Ilsang Ohn, Sara Kim
, Yongdai Kim:
SLIDE: A surrogate fairness constraint to ensure fairness consistency. Neural Networks 154: 441-454 (2022) - 2021
- [j2]Yongdai Kim, Ilsang Ohn, Dongha Kim:
Fast convergence rates of deep neural networks for classification. Neural Networks 138: 179-197 (2021) - 2019
- [j1]Ilsang Ohn, Yongdai Kim:
Smooth Function Approximation by Deep Neural Networks with General Activation Functions. Entropy 21(7): 627 (2019)
Conference and Workshop Papers
- 2024
- [c3]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: 13104-13112 - 2023
- [c2]Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim:
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. ICML 2023: 17462-17491 - 2022
- [c1]Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim:
Learning fair representation with a parametric integral probability metric. ICML 2022: 11074-11101
Informal and Other Publications
- 2023
- [i9]Yihao Fang, Ilsang Ohn, Vijay Gupta, Lizhen Lin:
Intrinsic and extrinsic deep learning on manifolds. CoRR abs/2302.08606 (2023) - [i8]Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim:
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. CoRR abs/2305.14765 (2023) - [i7]Ilsang Ohn, Lizhen Lin, Yongdai Kim:
A Bayesian sparse factor model with adaptive posterior concentration. CoRR abs/2305.18488 (2023) - 2022
- [i6]Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim:
Learning fair representation with a parametric integral probability metric. CoRR abs/2202.02943 (2022) - [i5]Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim:
SLIDE: a surrogate fairness constraint to ensure fairness consistency. CoRR abs/2202.03165 (2022) - [i4]Ilsang Ohn:
The convergent Indian buffet process. CoRR abs/2206.08002 (2022) - 2020
- [i3]Ilsang Ohn, Yongdai Kim:
Nonconvex sparse regularization for deep neural networks and its optimality. CoRR abs/2003.11769 (2020) - 2019
- [i2]Ilsang Ohn, Yongdai Kim:
Smooth function approximation by deep neural networks with general activation functions. CoRR abs/1906.06903 (2019) - 2018
- [i1]Yongdai Kim, Ilsang Ohn, Dongha Kim:
Fast convergence rates of deep neural networks for classification. CoRR abs/1812.03599 (2018)
Coauthor Index
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