| 2025 | HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training. | Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella |
| 2025 | Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks. | Sungwon Kim, Namkyeong Lee, Yunyoung Doh, Seungmin Shin, Guimok Cho, Seung-Won Jeon, Sangkook Kim, Chanyoung Park |
| 2025 | Flow-field inference from neural data using deep recurrent networks. | Timothy Doyeon Kim, Thomas Zhihao Luo, Tankut Can, Kamesh Krishnamurthy, Jonathan W. Pillow, Carlos D. Brody |
| 2025 | TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation. | Jaeho Kim, Seulki Lee |
| 2025 | Federated Learning for Feature Generalization with Convex Constraints. | Dongwon Kim, Donghee Kim, Sung Kuk Shyn, Kwangsu Kim |
| 2025 | Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective. | Joonkyu Kim, Yejin Kim, Jy-yong Sohn |
| 2025 | LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won't Fail). | Junsu Kim, Jaeyeon Kim, Ernest K. Ryu |
| 2025 | Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech. | Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park |
| 2025 | When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class. | Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim |
| 2025 | Active Learning with Selective Time-Step Acquisition for PDEs. | Yegon Kim, Hyunsu Kim, Gyeonghoon Ko, Juho Lee |
| 2025 | BoA: Attention-aware Post-training Quantization without Backpropagation. | Junhan Kim, Ho-Young Kim, Eulrang Cho, Chungman Lee, Joonyoung Kim, Yongkweon Jeon |
| 2025 | MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. | Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun |
| 2025 | K2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes. | Hideaki Kim, Tomoharu Iwata, Akinori Fujino |
| 2025 | GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance. | Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens J. S. Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song |
| 2025 | SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models. | Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho |
| 2025 | NegMerge: Sign-Consensual Weight Merging for Machine Unlearning. | Hyoseo Kim, Dongyoon Han, Junsuk Choe |
| 2025 | Correlated Errors in Large Language Models. | Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg |
| 2025 | Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems. | Yujun Kim, Jaeyoung Cha, Chulhee Yun |
| 2025 | Neural Genetic Search in Discrete Spaces. | Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon |
| 2025 | Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning. | Jungtaek Kim |
| 2025 | Improved Off-policy Reinforcement Learning in Biological Sequence Design. | Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernndez-Garca, Jinkyoo Park |
| 2025 | Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent. | Donghwa Kim, Jaewook Lee, Chulhee Yun |
| 2025 | Peri-LN: Revisiting Normalization Layer in the Transformer Architecture. | Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo |
| 2025 | Hierarchical Reinforcement Learning with Targeted Causal Interventions. | Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser |
| 2025 | Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design. | Vikram Kher, Manolis Zampetakis |