Kim, Minjae

7 publications

NeurIPS 2025 HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class James V Roggeveen, Erik Y. Wang, David Ettel, Will Flintoft, Peter Donets, Raglan Ward, Ahmed Roman, Anton Marius Graf, Siddharth Dandavate, Ava Williamson, Felix Yeung, Kacper K Migacz, Yijun Wang, Egemen Bostan, Duy Thuc Nguyen, Zhe He, Marc L. Descoteaux, Anne Mykland, Shida Liu, Jorge García Ponce, Luke Zhu, Yuyang Chen, Ekaterina S. Ivshina, Miguel Fernandez, Minjae Kim, Kennan Gumbs, Matthew Scott Tan, Russell Yang, Mai Hoang, David Brown, Isabella A Silveira, Lavon Sykes, Arjun Nageswaran, William Fredenberg, Yiming Chen, Lucas Martin, Yixing Tang, Kelly Werker Smith, Hongyu Liao, Logan G. Wilson, Alexander Dazhen Cai, Lucy S. Nathwani, Nickholas Gutierrez, Andrea Elizabeth Biju, Michael Brenner

NeurIPS 2025 VLM in a Flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking Kichang Yang, Seonjun Kim, Minjae Kim, Nairan Zhang, Chi Zhang, Youngki Lee

NeurIPS 2025 Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Wooseok Jang, Jaewon Min, Sangwu Lee, Sayak Paul, Seungryong Kim

ICLR 2023 DepthFL : Depthwise Federated Learning for Heterogeneous Clients Minjae Kim, Sangyoon Yu, Suhyun Kim, Soo-Mook Moon

WACV 2023 Style-Guided Inference of Transformer for High-Resolution Image Synthesis Jonghwa Yim, Minjae Kim

ICLR 2020 U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwanghee Lee

AISTATS 2016 Spectral M-Estimation with Applications to Hidden Markov Models Dustin Tran, Minjae Kim, Finale Doshi-Velez