Insung Kong

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Posterior Probability

Loopy Belief Propagation

Top Venues

Publications

Insung Kong, Yongdai Kim
Posterior concentrations of fully-connected Bayesian neural networks with general priors on the weights. CoRR (2024)
Dongyoon Yang, Insung Kong, Yongdai Kim
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. CoRR (2023)
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)
Dongyoon Yang, Insung Kong, Yongdai Kim
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. ICCV (2023)
Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim
Covariate balancing using the integral probability metric for causal inference. CoRR (2023)
Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim
Covariate balancing using the integral probability metric for causal inference. ICML (2023)
Dongyoon Yang, Insung Kong, Yongdai Kim
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples. ICML (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)
Dongyoon Yang, Insung Kong, Yongdai Kim
Adaptive Regularization for Adversarial Training. CoRR (2022)
Dongha Kim, Kunwoong Kim, Insung Kong, Ilsang Ohn, Yongdai Kim
Learning fair representation with a parametric integral probability metric. ICML (2022)