Kim, Minkyu

15 publications

NeurIPS 2025 Energy-Based Generator Matching: A Neural Sampler for General State Space Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn

NeurIPS 2025 On Scalable and Efficient Training of Diffusion Samplers Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim

ICLR 2025 Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho

TMLR 2025 SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization Geonwoo Ko, Sungyeob Yoo, Seri Ham, Seeyeon Kim, Minkyu Kim, Joo-Young Kim

ICLR 2025 Test-Time Alignment of Diffusion Models Without Reward Over-Optimization Sunwoo Kim, Minkyu Kim, Dongmin Park

WACV 2025 Text Change Detection in Multilingual Documents Using Image Comparison Doyoung Park, Naresh Reddy Yarram, Sunjin Kim, MinKyu Kim, Seongho Joe, Taehee Lee

CVPR 2024 Discovering and Mitigating Visual Biases Through Keyword Explanation Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin

ICLR 2024 Image Clustering Conditioned on Text Criteria Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee

ICML 2024 Neural Image Compression with Text-Guided Encoding for Both Pixel-Level and Perceptual Fidelity Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, Jaeho Lee

AAAI 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro

NeurIPSW 2023 Image Clustering Conditioned on Text Criteria Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee

NeurIPS 2023 S-CLIP: Semi-Supervised Vision-Language Learning Using Few Specialist Captions Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jinwoo Shin

ICMLW 2023 Squeezing Large-Scale Diffusion Models for Mobile Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim

ICMLW 2021 SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Adversarial Robustness Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Doguk Kim, Jinwoo Shin

NeurIPS 2021 SmoothMix: Training Confidence-Calibrated Smoothed Classifiers for Certified Robustness Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin