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2020 – today
- 2023
[c5]Giyoung Jeon, Haedong Jeong, Jaesik Choi
:
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. ICCV 2023: 2052-2061- 2022
- [c4]Haedong Jeong, Jiyeon Han, Jaesik Choi:
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. AAAI 2022: 1052-1059 - [c3]Giyoung Jeon, Haedong Jeong, Jaesik Choi:
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network. NeurIPS 2022 - [i4]Seongjin Park, Haedong Jeong, Giyoung Jeon, Jaesik Choi:
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. CoRR abs/2207.03400 (2022) - 2021
- [c2]Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi:
Automatic Correction of Internal Units in Generative Neural Networks. CVPR 2021: 7932-7940 - [i3]Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi:
Automatic Correction of Internal Units in Generative Neural Networks. CoRR abs/2104.06118 (2021) - [i2]Haedong Jeong, Jiyeon Han, Jaesik Choi:
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. CoRR abs/2112.08814 (2021) - 2020
- [c1]Giyoung Jeon, Haedong Jeong, Jaesik Choi:
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. AAAI 2020: 4288-4295
2010 – 2019
- 2019
- [j1]Haedong Jeong, Bumsoo Park, Seungtae Park, Hyungcheol Min, Seungchul Lee:
Fault detection and identification method using observer-based residuals. Reliab. Eng. Syst. Saf. 184: 27-40 (2019) - [i1]Giyoung Jeon, Haedong Jeong, Jaesik Choi:
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks. CoRR abs/1912.05827 (2019)
Coauthor Index
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