Kim, Mingyu

9 publications

AISTATS 2025 Bayesian Principles Improve Prompt Learning in Vision-Language Models Mingyu Kim, Jongwoo Ko, Mijung Park

NeurIPS 2025 Training-Free Safe Denoisers for Safe Use of Diffusion Models Mingyu Kim, Dongjun Kim, Amman Yusuf, Stefano Ermon, Mijung Park

ICLRW 2025 Training-Free Safe Denoisers for Safe Use of Diffusion Models Mingyu Kim, Dongjun Kim, Amman Yusuf, Stefano Ermon, Mijung Park

ICML 2024 Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs Mingyu Kim, Kim Jun-Seong, Se-Young Yun, Jin-Hwa Kim

NeurIPSW 2023 Refined Tensorial Radiance Field: Harnessing Coordinate-Based Networks for Novel View Synthesis from Sparse Inputs Mingyu Kim, Kim Jun-Seong, Se-Young Yun, Jin-Hwa Kim

ICLR 2022 Neural Processes with Stochastic Attention: Paying More Attention to the Context Dataset Mingyu Kim, Kyeong Ryeol Go, Se-Young Yun

ICMLW 2022 The StarCraft Multi-Agent Challenges+ : Learning of Sub-Tasks and Environmental Benefits Without Precise Reward Functions Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, SeongHwan Kim, Song Chong, Se-Young Yun

NeurIPSW 2021 Neural Processes with Stochastic Attention: Paying More Attention to the Context Dataset Mingyu Kim, Kyeong Ryeol Go, Se-Young Yun

ICML 2011 Multimodal Deep Learning Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng