김기응Kee-Eung Kim
AIPR Lab
기계학습, 인공지능, 강화학습
- 논문
- 27
- 구성원
- 13
- 졸업생
- 49
논문 주제가 비슷한 연구실
KAIST 문일철 교수 연구실은 머신러닝 분야 연구실로, 연구실 홈페이지 기준 2023–2026년 논문 39편(T1 25편)을 발표했습니다. 현재 박사과정 7명, 석사과정 8명이 소속되어 있습니다. 졸업생은 42명입니다.
2023–2026 · 연구실 홈페이지 기준
연평균 · T1 비율
9.8 · 64%
논문 제목에서 찾은 주제예요. 최근 논문일수록 크게 반영돼요.
논문 39편
AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm
Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Lee Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon
AI-Integrated Architecture for Theater Missile Defense Simulation
Han, C. S., Na, H., Choi, J., Park, Y., Hwang, J., Moon, I. C., & Yun, T. S.
AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution
Donghyeok Shin, Yeongmin Kim, Suhyeon Jo, Byeonghu Na, and Il-Chul Moon
Best-of-$N$ Guidance for Test-time Diffusion Alignment
Richard Lee Kim, Yeongmin Kim, Gyuwon Sim, Taekyu Kim, Minsang Park, and Il-Chul Moon
Distillation of Large Language Models via Concrete Score Matching
Yeongmin Kim, Donghyeok Shin, Mina Kang, Byeonghu Na, and Il-Chul Moon
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
Yeongmin Kim, Donghyeok Shin, Byeonghu Na, Minsang Park, Richard Lee Kim, and Il-Chul Moon
Multi-agent Reinforcement Learning Considering Agent Priority for Weapon-Target Assignment
Hyungho Na, Jaemyung Ahn, and Il-Chul Moon
Semantic-aware Wasserstein Policy Regularization for Large Language Model Alignment
Byeonghu Na, Hyungho Na, Yeongmin Kim, Suhyeon Jo, HeeSun Bae, Mina Kang, and Il-Chul Moon
논문 주제 구성이 비슷한 연구실이에요.