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Korean AI Association

  >   ÇмúÇà»ç   >   ±¹³»Çмú´ëȸ

±¹³»Çмú´ëȸ

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 2025 (»ç)Çѱ¹ÀΰøÁö´ÉÇÐȸ ÇϰèÇмú´ëȸ ÇÁ·Î±×·¥<Àå¼Ò : Æòâ ÈִнºÆÄÅ©, ÈִнºÈ£ÅÚ>

 8¿ù 7ÀÏ (¸ñ)

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µî·Ï

11:00∼

µî·Ï <1Ãþ ·Îºñ>

Æ©Å丮¾ó ¼¼¼Ç 1      

13:00-15:00

Stochastic and Multi-Objective Optimization in AI: Theory, Algorithms, and Applications

/ÀÓµ¿¿µ ±³¼ö(UNIST)

<2Ãþ, ÆÀ¹öȦ>

Contextual Bandits with Combinatorial Actions & Preference Feedback

/ ¿À¹Îȯ ±³¼ö(¼­¿ï´ëÇб³)

<2Ãþ, ¾ÆÁ¨´Ù·ë1>

From Classical to Recent Advances in Sufficient Dimension Reduction 

/ ±è°æ¿ø ±³¼ö(¿¬¼¼´ëÇб³)

<2Ãþ, ¾ÆÁ¨´Ù·ë2>

ÈÞ½Ä

15:00-15:20

È޽Ġ 

           Æ©Å丮¾ó ¼¼¼Ç 2                           

15:20-17:20 

Advances in On-Device AI: Methods and Applications

/ À̽½±â ±³¼ö(UNIST)

<2Ãþ, ÆÀ¹öȦ>

Text-to-Video Retrieval

/ ÇãÀçÇÊ ±³¼ö(¼º±Õ°ü´ëÇб³)

<2Ãþ, ¾ÆÁ¨´Ù·ë1>

Image Generation Model Optimization & Acceleration

/ ¹ÚÀºÇõ ±³¼ö

                     <2Ãþ, ¾ÆÁ¨´Ù ·ë2>                   

ÈÞ½Ä

17:20-17:40

ÈÞ½Ä ¹× À̵¿

Á¤±âÃÑȸ (´ë»ó : Á¤È¸¿ø)

¿ÀÇÁ´×

°³È¸½Ä

17:40-17:50

°³È¸¼±¾ð (Çѱ¹ÀΰøÁö´ÉÇÐȸ ÀÌÁöÇü ȸÀå)

Àλ縻 (³»¿Üºó)

<1Ãþ Æ÷·¹½ºÆ®È¦>

ÃÊû°­¿¬

17:50-18:30

AGI·Î °¡´Â ¿©Á¤/  Á¤Çýµ¿ PM(IITP) <1Ãþ Æ÷·¹½ºÆ®È¦>

¿ì¼ö³í¹® ½Ã»ó & ¸®¼Á¼Ç

18:30~19:30

¿ì¼ö³í¹® ½Ã»ó & ¸®¼Á¼Ç <1Ãþ Æ÷·¹½ºÆ®È¦>

 8¿ù 8ÀÏ (±Ý) 

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µî·Ï

08:00-09:00

µî·Ï <1Ãþ ·Îºñ>

Plenary Talk 1

09:00-10:00

Beyond Understanding: Toward Controllable and Agentic Multimodal Models/ ÀÌ¿ëÀç ±³¼ö(University of Wisconsin-Madison) <1Ãþ Æ÷·¹½ºÆ®È¦, ¿Â¶óÀÎ °­ÀÇ>

³í¹®¹ßÇ¥ ¼¼¼Ç

10:00-10:30

¿ì¼ö³í¹®¹ßÇ¥ ¼¼¼Ç  <1Ãþ Æ÷·¹½ºÆ®È¦>

Æ÷½ºÅÍ ¼¼¼Ç

10:30-11:00

Æ÷½ºÅÍ ¼¼¼Ç <1Ãþ ·Îºñ>

Plenary Talk 2

11:00-12:00

Reality Checks/ Á¶°æÇö ±³¼ö(New York University) <1Ãþ Æ÷·¹½ºÆ®È¦, ¿Â¶óÀÎ °­ÀÇ>

Á߽Ġ

12:00-13:00

Á߽Ġ, Á¤±â ÀÌ»çȸ(´ë»ó : ÀÓ¿ø) <¼¾ÅÍÇöóÀÚ, ¿Â´ã 2Ãþ>

±¹Á¦ÇÐȸ ¿ì¼ö³í¹®¼¼¼Ç

13:00-14:00

ICML 2025 review <1Ãþ Æ÷·¹½ºÆ®È¦>

CVPR 2025 review <2Ãþ, ÆÀ¹öȦ>

Special Invited Talk

14:00-15:00

īī¿ÀÀÇ AI ¸ðµ¨ ‘Ä«³ª³ª(Kanana)’ °³¹ß »ç·Ê - Agentic AI¸¦ ÇâÇÑ AI ¸ðµ¨ÀÇ ÁøÈ­/ ±èº´ÇÐ Ä«³ª³ª ¼º°ú¸®´õ(īī¿À) <1Ãþ Æ÷·¹½ºÆ®È¦>

ÈÞ½Ä ¹× À̵¿

15:00-15:10

ÈÞ½Ä ¹× À̵¿

±âȹ¼¼¼Ç 1

15:10-16:10

AI º¸¾È

/ ±âȹ_±èÇü½Ä ±³¼ö(¼º±Õ°ü´ëÇб³)

<2Ãþ ÆÀ¹öȦ>

Agentic AI

/ ±âȹ_¿ìÈ«¿í ±³¼ö(¼º±Õ°ü´ëÇб³)

<2Ãþ ¾ÆÁ¨´Ù·ë1>

AI and Statistics

/ ±âȹ_±è±¤¼ö ±³¼ö(ÀüºÏ´ëÇб³)

<2Ãþ ¾ÆÁ¨´Ù·ë2>

ETRI Áö´ÉÁ¤º¸¿¬±¸º»ºÎ AI ±â¼ú ¼Ò°³

/ ±âȹ_±è¿µ±æ Ã¥ÀÓ(ETRI Áö´ÉÁ¤º¸¿¬±¸º»ºÎ)

<2Ãþ ¾ÆÁ¨´Ù·ë3>

ÈÞ½Ä

16:10-16:20

ÈÞ½Ä

±âȹ¼¼¼Ç 2

16:20-17:20

Learning to Decide: Theoretical Perspectives on Agentic AI

/±âȹ_¿ÁÁ¤½½ ±³¼ö(POSTECH)

<2Ãþ ÆÀ¹öȦ>

Recent Advances in Explainable Artificial Intelligence  

/±âȹ_ÃÖÀç½Ä ±³¼ö(KAIST)

<2Ãþ ¾ÆÁ¨´Ù·ë1>

Toward the Future of AI Platforms: Embodiment, On-Device, and Quantum

/±âȹ_ÀÌÁöÇü ±³¼ö(¼º±Õ°ü´ëÇб³)

<2Ãþ ¾ÆÁ¨´Ù·ë2>

Machine learning application in health care, well aging, and gene regulation

/±âȹ_À±Á¦Çö ±³¼ö(U. of Oklahoma)

<2Ãþ ¾ÆÁ¨´Ù·ë3>

¸¸Âù

17:20-19:00

¸¸Âù <1Ãþ Æ÷·¹½ºÆ®È¦>

 8¿ù 9ÀÏ (Åä)  Private Session <³»ºÎ ¿öÅ©¼ó>