2025 (»ç)Çѱ¹ÀΰøÁö´ÉÇÐȸ ÇϰèÇмú´ëȸ ÇÁ·Î±×·¥<Àå¼Ò : Æòâ ÈִнºÆÄÅ©, ÈִнºÈ£ÅÚ>
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µî·Ï
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11:00∼
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µî·Ï <1Ãþ ·Îºñ>
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Æ©Å丮¾ó ¼¼¼Ç 1
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13:00-15:00
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Stochastic and Multi-Objective Optimization in AI: Theory, Algorithms, and Applications
/ÀÓµ¿¿µ ±³¼ö(UNIST)
<2Ãþ, ÆÀ¹öȦ>
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Contextual Bandits with Combinatorial Actions & Preference Feedback
/ ¿À¹Îȯ ±³¼ö(¼¿ï´ëÇб³)
<2Ãþ, ¾ÆÁ¨´Ù·ë1>
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From Classical to Recent Advances in Sufficient Dimension Reduction
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<2Ãþ, ¾ÆÁ¨´Ù·ë2>
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ÈÞ½Ä
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15:00-15:20
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ÈÞ½Ä
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Æ©Å丮¾ó ¼¼¼Ç 2
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15:20-17:20
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Advances in On-Device AI: Methods and Applications
/ À̽½±â ±³¼ö(UNIST)
<2Ãþ, ÆÀ¹öȦ>
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Text-to-Video Retrieval
/ ÇãÀçÇÊ ±³¼ö(¼º±Õ°ü´ëÇб³)
<2Ãþ, ¾ÆÁ¨´Ù·ë1>
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Image Generation Model Optimization & Acceleration
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ÈÞ½Ä
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17:20-17:40
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Á¤±âÃÑȸ (´ë»ó : Á¤È¸¿ø)
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17:40-17:50
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°³È¸¼±¾ð (Çѱ¹ÀΰøÁö´ÉÇÐȸ ÀÌÁöÇü ȸÀå)
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17:50-18:30
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AGI·Î °¡´Â ¿©Á¤/ Á¤Çýµ¿ PM(IITP) <1Ãþ Æ÷·¹½ºÆ®È¦>
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¿ì¼ö³í¹® ½Ã»ó & ¸®¼Á¼Ç
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18:30~19:30
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¿ì¼ö³í¹® ½Ã»ó & ¸®¼Á¼Ç <1Ãþ Æ÷·¹½ºÆ®È¦>
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8¿ù 8ÀÏ (±Ý)
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µî·Ï
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08:00-09:00
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µî·Ï <1Ãþ ·Îºñ>
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Plenary Talk 1
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09:00-10:00
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Beyond Understanding: Toward Controllable and Agentic Multimodal Models/ ÀÌ¿ëÀç ±³¼ö(University of Wisconsin-Madison) <1Ãþ Æ÷·¹½ºÆ®È¦, ¿Â¶óÀÎ °ÀÇ>
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10:00-10:30
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¿ì¼ö³í¹®¹ßÇ¥ ¼¼¼Ç <1Ãþ Æ÷·¹½ºÆ®È¦>
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Æ÷½ºÅÍ ¼¼¼Ç
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10:30-11:00
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Æ÷½ºÅÍ ¼¼¼Ç <1Ãþ ·Îºñ>
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Plenary Talk 2
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11:00-12:00
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Reality Checks/ Á¶°æÇö ±³¼ö(New York University) <1Ãþ Æ÷·¹½ºÆ®È¦, ¿Â¶óÀÎ °ÀÇ>
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Áß½Ä
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12:00-13:00
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Áᫎ , Á¤±â ÀÌ»çȸ(´ë»ó : ÀÓ¿ø) <¼¾ÅÍÇöóÀÚ, ¿Â´ã 2Ãþ>
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±¹Á¦ÇÐȸ ¿ì¼ö³í¹®¼¼¼Ç
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13:00-14:00
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ICML 2025 review <1Ãþ Æ÷·¹½ºÆ®È¦>
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CVPR 2025 review <2Ãþ, ÆÀ¹öȦ>
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Special Invited Talk
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14:00-15:00
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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¦>
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ÈÞ½Ä ¹× À̵¿
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15:00-15:10
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±âȹ¼¼¼Ç 1
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15:10-16:10
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AI º¸¾È
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Agentic AI
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AI and Statistics
/ ±âȹ_±è±¤¼ö ±³¼ö(ÀüºÏ´ëÇб³)
<2Ãþ ¾ÆÁ¨´Ù·ë2>
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ETRI Áö´ÉÁ¤º¸¿¬±¸º»ºÎ AI ±â¼ú ¼Ò°³
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ÈÞ½Ä
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16:10-16:20
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ÈÞ½Ä
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±âȹ¼¼¼Ç 2
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16:20-17:20
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Learning to Decide: Theoretical Perspectives on Agentic AI
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<2Ãþ ÆÀ¹öȦ>
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Recent Advances in Explainable Artificial Intelligence
/±âȹ_ÃÖÀç½Ä ±³¼ö(KAIST)
<2Ãþ ¾ÆÁ¨´Ù·ë1>
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Toward the Future of AI Platforms: Embodiment, On-Device, and Quantum
/±âȹ_ÀÌÁöÇü ±³¼ö(¼º±Õ°ü´ëÇб³)
<2Ãþ ¾ÆÁ¨´Ù·ë2>
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Machine learning application in health care, well aging, and gene regulation
/±âȹ_À±Á¦Çö ±³¼ö(U. of Oklahoma)
<2Ãþ ¾ÆÁ¨´Ù·ë3>
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17:20-19:00
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¸¸Âù <1Ãþ Æ÷·¹½ºÆ®È¦>
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8¿ù 9ÀÏ (Åä) Private Session <³»ºÎ ¿öÅ©¼ó>
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