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연세대 첨단컴퓨팅학부, ICRL 2025에서 12편의 논문 채택
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2025.03.13
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첨단컴퓨팅학부
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연세대 첨단컴퓨팅학부, ICRL 2025에서 12편의 논문 채택


연세대학교 첨단컴퓨팅학부 소속 연구자들의 논문 12편이 ICLR 2025(International Conference on Learning Representations 2025)에 채택되었다.


ICLR은 딥러닝과 표현 학습(Representation Learning) 분야의 최첨단 연구 성과를 논의하는 최상위 국제 학회로, 매년 전 세계 인공지능 전문가들이 모여 혁신적인 연구 결과를 공유하는 자리이다. 이번 논문 채택을 통해 연세대학교 첨단컴퓨팅학부는 국제적 연구 경쟁력을 다시 한번 입증했으며, 세계 무대에서 활약하는 한국 인공지능 연구의 위상을 드높였다.



채택된 논문 리스트


1. Adaptive Energy Alignment for Accelerating Test-Time Adaptation

- Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, and Jaekyun Moon


2. Anti-Exposure Bias in Diffusion Models via Prompt Learning (Spotlight Presentation)

- Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu


3. Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis

- Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton


4. Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees (Spotlight Presentation)

- Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton


5. Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning

- Kwanyoung Park, Youngwoon Lee


6. PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

- Namgyu Kang*, Jaemin Oh*, Youngjoon Hong, Eunbyung Park


7. PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models

- Kyeongkook Seo, Dong-Jun Han*, Jaejun Yoo*


8. See What You Are Told: Visual Attention Sink in Large Multimodal Models

- Seil Kang*, Jinyeong Kim*, Junhyeok Kim, Seong Jae Hwang


9. SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation

- Jongmin Lee*, Meiqi Sun*, Pieter Abbeel


10. Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment (Oral Presentation (207/11672=1.77%))

- Dongyoung Kim, Kimin Lee, Jinwoo Shin, and Jaehyung Kim


11. Unlocking the Potential of Model Calibration in Federated Learning

- Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton


12. Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

- Hyungjoo Chae, Namyoung Kim, Kai Tzu-iunn Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo


첨부
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