| 2025 | Quadratic Upper Bound for Boosting Robustness. | Euijin You, Hyang-Won Lee |
| 2025 | Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More. | Geonhui Yoo, Minhak Song, Chulhee Yun |
| 2025 | ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization. | Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo |
| 2025 | Monte Carlo Tree Diffusion for System 2 Planning. | Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn |
| 2025 | World Model Implanting for Test-time Adaptation of Embodied Agents. | Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo |
| 2025 | Interpreting the Repeated Token Phenomenon in Large Language Models. | Itay Yona, Ilia Shumailov, Jamie Hayes, Yossi Gandelsman |
| 2025 | From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium. | Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu, Bo Han |
| 2025 | Random Registers for Cross-Domain Few-Shot Learning. | Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning. | Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li |
| 2025 | CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models. | Junbo Yin, Chao Zha, Wenjia He, Chencheng Xu, Xin Gao |
| 2025 | Which Attention Heads Matter for In-Context Learning? | Kayo Yin, Jacob Steinhardt |
| 2025 | A Recipe for Causal Graph Regression: Confounding Effects Revisited. | Yujia Yin, Tianyi Qu, Zihao Wang, Yifan Chen |
| 2025 | TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction. | Shi Yin, Xinyang Pan, Fengyan Wang, Lixin He |
| 2025 | From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. | Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen |
| 2025 | Constrain Alignment with Sparse Autoencoders. | Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang |
| 2025 | Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift. | Chao Ying, Jun Jin, Yi Guo, Xiudi Li, Muxuan Liang, Jiwei Zhao |
| 2025 | Trajectory World Models for Heterogeneous Environments. | Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long |
| 2025 | All-atom inverse protein folding through discrete flow matching. | Kai Yi, Kiarash Jamali, Sjors H. W. Scheres |
| 2025 | iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection. | Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, Qicheng Lao |
| 2025 | Non-stationary Diffusion For Probabilistic Time Series Forecasting. | Weiwei Ye, Zhuopeng Xu, Ning Gui |
| 2025 | Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. | Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang |
| 2025 | AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings. | Yilin Ye, Junchao Huang, Xingchen Zeng, Jiazhi Xia, Wei Zeng |
| 2025 | Position: Challenges and Future Directions of Data-Centric AI Alignment. | Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li |
| 2025 | Action-Constrained Imitation Learning. | Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh |
| 2025 | An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions. | Yuhan Ye, Ying Cui, Jingyi Wang |