Ilsang Ohn

According to our database, Ilsang Ohn authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples.

Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Bayesian sparse factor model with adaptive posterior concentration.

Ilsang Ohn, Lizhen Lin, Yongdai Kim

CoRR, 2023

Intrinsic and extrinsic deep learning on manifolds.

Yihao Fang, Ilsang Ohn, Vijay Gupta, Lizhen Lin

CoRR, 2023

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference.

Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2023

2022

SLIDE: A surrogate fairness constraint to ensure fairness consistency.

Kunwoong Kim, Ilsang Ohn, Sara Kim, Yongdai Kim

Neural Networks, 2022

Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality.

Ilsang Ohn, Yongdai Kim

Neural Comput., 2022

The convergent Indian buffet process.

Ilsang Ohn

CoRR, 2022

Learning fair representation with a parametric integral probability metric.

Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim

Proceedings of the International Conference on Machine Learning, 2022

2021

Fast convergence rates of deep neural networks for classification.

Yongdai Kim, Ilsang Ohn, Dongha Kim

Neural Networks, 2021

2019

Smooth Function Approximation by Deep Neural Networks with General Activation Functions.

Ilsang Ohn, Yongdai Kim

Entropy, 2019