Ahn, Daehyun

7 publications

NeurIPS 2025 GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park

NeurIPS 2023 Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim

WACV 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim

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

NeurIPS 2023 Temporal Dynamic Quantization for Diffusion Models Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park

ICLR 2019 Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim

ICLR 2018 Viterbi-Based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I. Chuang, Jae-Joon Kim