Haedong Jeong

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Generative Model

Multilayer Perceptron

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Giyoung Jeon, Haedong Jeong, Jaesik Choi
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. ICCV (2023)
Giyoung Jeon, Haedong Jeong, Jaesik Choi
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network. NeurIPS (2022)
Haedong Jeong, Jiyeon Han, Jaesik Choi
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. AAAI (2022)
Seongjin Park, Haedong Jeong, Giyoung Jeon, Jaesik Choi
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. CoRR (2022)
Haedong Jeong, Jiyeon Han, Jaesik Choi
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. CoRR (2021)
Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi
Automatic Correction of Internal Units in Generative Neural Networks. CVPR (2021)
Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi
Automatic Correction of Internal Units in Generative Neural Networks. CoRR (2021)
Giyoung Jeon, Haedong Jeong, Jaesik Choi
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. AAAI (2020)
Haedong Jeong, Bumsoo Park, Seungtae Park, Hyungcheol Min, Seungchul Lee
Fault detection and identification method using observer-based residuals. Reliab. Eng. Syst. Saf. 184 (2019)
Giyoung Jeon, Haedong Jeong, Jaesik Choi
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. CoRR (2019)