Defense Filters for Robust Learning of Partially Observed Dynamical Systems
https://arxiv.org/abs/2610.21935
Defense Filters for Robust Learning of Partially Observed Dynamical Systems
https://arxiv.org/abs/2610.21935
Title: Defense Filters for Robust Learning of Partially Observed Dynamical Systems
Authors: Jihun Kim, Javad Lavaei
Read more: https://arxiv.org/abs/2610.21935
Title: Defense Filters for Robust Learning of Partially Observed Dynamical Systems
Authors: Jihun Kim, Javad Lavaei
Read more: https://arxiv.org/abs/2610.21935
ActionGuard: Tool Call Authorization under Poisoned Skills
https://arxiv.org/abs/2609.39450
ActionGuard: Tool Call Authorization under Poisoned Skills
https://arxiv.org/abs/2609.39450
The OIG concluded Wright, Chavez-DeRemer and Jihun Han failed to follow DOL policy by regularly consuming and storing alcohol on federal property without required written approval.
The OIG concluded Wright, Chavez-DeRemer and Jihun Han failed to follow DOL policy by regularly consuming and storing alcohol on federal property without required written approval.
That is a Trump OIG finding, not merely an accusation.
That is a Trump OIG finding, not merely an accusation.
10. Adilbek Mussin (KAZ🇰🇿) 52.70
10. Adilbek Mussin (KAZ🇰🇿) 52.70
10. Adilbek Mussin (KAZ🇰🇿) 52.70
10. Adilbek Mussin (KAZ🇰🇿) 52.70
10. Adilbek Mussin (KAZ🇰🇿) 52.68 Q
u
10. Adilbek Mussin (KAZ🇰🇿) 52.68 Q
u
- Lee Eunji 1:01.45
- Park Sieun 1:08.74
- Kim Jihun 53.24
- Hwang Sunwoo 50.59
6. Indonesia (INA🇮🇩) 3:54.40 Q
- Flairene Candrea 1:02.56
- Arya Haryono 1:01.69
- Joe Kurniawan 53.46
- Adelia Aulia 56.69
7. Philippines (PHI🇵🇭) 3:57.12 Q
- Lee Eunji 1:01.45
- Park Sieun 1:08.74
- Kim Jihun 53.24
- Hwang Sunwoo 50.59
6. Indonesia (INA🇮🇩) 3:54.40 Q
- Flairene Candrea 1:02.56
- Arya Haryono 1:01.69
- Joe Kurniawan 53.46
- Adelia Aulia 56.69
7. Philippines (PHI🇵🇭) 3:57.12 Q
- Yoon Jihwan 55.25
- Cho Jae 1:01.67
- Kim Jihun 53.55
- Hwang Sunwoo 48.70
6. Singapore (SGP🇸🇬) 3:39.76 Q
- Tedd Chan 56.30
- Chan Ho 1:01.77
- Azman Ardi 53.53
- Mikkel Lee 48.16
7. India (IND🇮🇳) 3:40.41 Q
- Rishabh Das 54.97
- Yoon Jihwan 55.25
- Cho Jae 1:01.67
- Kim Jihun 53.55
- Hwang Sunwoo 48.70
6. Singapore (SGP🇸🇬) 3:39.76 Q
- Tedd Chan 56.30
- Chan Ho 1:01.77
- Azman Ardi 53.53
- Mikkel Lee 48.16
7. India (IND🇮🇳) 3:40.41 Q
- Rishabh Das 54.97
Men's 200m Individual Medley Heats
https://results.asiangames2026.org/ag2026/reports/ENG.SWMM200MIM------------HEAT--------.C74A_2_0.pdf
1. Tomoyuki Matsushita (JPN🇯🇵) 1:58.56 Q
2. Yumeki Kojima (JPN🇯🇵) 1:59.91 Q
3. Wang Shun (CHN🇨🇳) 2:00.04 Q
4. Kim Jihun (KOR🇰🇷) 2:
Men's 200m Individual Medley Heats
https://results.asiangames2026.org/ag2026/reports/ENG.SWMM200MIM------------HEAT--------.C74A_2_0.pdf
1. Tomoyuki Matsushita (JPN🇯🇵) 1:58.56 Q
2. Yumeki Kojima (JPN🇯🇵) 1:59.91 Q
3. Wang Shun (CHN🇨🇳) 2:00.04 Q
4. Kim Jihun (KOR🇰🇷) 2:
Men's 200m Individual Medley Heats
https://results.asiangames2026.org/ag2026/reports/ENG.SWMM200MIM------------HEAT--------.C74A_2_0.pdf
1. Tomoyuki Matsushita 1:58.56 Q
2. Yumeki Kojima 1:59.91 Q
3. Wang Shun 2:00.04 Q
4. Jihun Kim 2:00.06 Q
5. Reagan Cheng 2:01.25
Men's 200m Individual Medley Heats
https://results.asiangames2026.org/ag2026/reports/ENG.SWMM200MIM------------HEAT--------.C74A_2_0.pdf
1. Tomoyuki Matsushita 1:58.56 Q
2. Yumeki Kojima 1:59.91 Q
3. Wang Shun 2:00.04 Q
4. Jihun Kim 2:00.06 Q
5. Reagan Cheng 2:01.25
Men's 200m Individual Medley Heats
https://results.asiangames2026.org/ag2026/reports/ENG.SWMM200MIM------------HEAT--------.C74A_2_0.pdf
1. Tomoyuki Matsushita (JPN🇯🇵) 1:58.56 Q
2. Yumeki Kojima (JPN🇯🇵) 1:59.91 Q
3. Wang Shun (CHN🇨🇳) 2:00.04 Q
4. Kim Jihun (KOR🇰🇷) 2:
Men's 200m Individual Medley Heats
https://results.asiangames2026.org/ag2026/reports/ENG.SWMM200MIM------------HEAT--------.C74A_2_0.pdf
1. Tomoyuki Matsushita (JPN🇯🇵) 1:58.56 Q
2. Yumeki Kojima (JPN🇯🇵) 1:59.91 Q
3. Wang Shun (CHN🇨🇳) 2:00.04 Q
4. Kim Jihun (KOR🇰🇷) 2:
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning
https://arxiv.org/abs/2609.18952
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning
https://arxiv.org/abs/2609.18952