| 2025 | How Transformers Learn Structured Data: Insights From Hierarchical Filtering. | Jerome Garnier-Brun, Marc Mzard, Emanuele Moscato, Luca Saglietti |
| 2025 | Persistent Topological Features in Large Language Models. | Yuri Gardinazzi, Karthik Viswanathan, Giada Panerai, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti |
| 2025 | REG: Rectified Gradient Guidance for Conditional Diffusion Models. | Zhengqi Gao, Kaiwen Zha, Tianyuan Zhang, Zihui Xue, Duane S. Boning |
| 2025 | Extreme Value Policy Optimization for Safe Reinforcement Learning. | Shiqing Gao, Yihang Zhou, Shuai Shao, Haoyu Luo, Yiheng Bing, Jiaxin Ding, Luoyi Fu, Xinbing Wang |
| 2025 | AdaWorld: Learning Adaptable World Models with Latent Actions. | Shenyuan Gao, Siyuan Zhou, Yilun Du, Jun Zhang, Chuang Gan |
| 2025 | Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials. | Chenyin Gao, Shu Yang, Mingyang Shan, Wenyu Ye, Ilya Lipkovich, Douglas Faries |
| 2025 | Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing. | Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen |
| 2025 | Volume Optimality in Conformal Prediction with Structured Prediction Sets. | Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan |
| 2025 | Neural Solver Selection for Combinatorial Optimization. | Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian |
| 2025 | Complete-Tree Space Favors Data-Efficient Link Prediction. | Chi Gao, Lukai Li, Yancheng Zhou, Shangqi Guo |
| 2025 | EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers. | Daiheng Gao, Shilin Lu, Wenbo Zhou, Jiaming Chu, Jie Zhang, Mengxi Jia, Bang Zhang, Zhaoxin Fan, Weiming Zhang |
| 2025 | MARGE: Improving Math Reasoning with Guided Exploration. | Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen |
| 2025 | Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. | Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu |
| 2025 | Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. | Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu |
| 2025 | Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach. | Chenyin Gao, Peter B. Gilbert, Larry Han |
| 2025 | OneForecast: A Universal Framework for Global and Regional Weather Forecasting. | Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang |
| 2025 | NExtLong: Toward Effective Long-Context Training without Long Documents. | Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu |
| 2025 | Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration. | Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang |
| 2025 | Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. | Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang |
| 2025 | AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling. | Jian Gao, Weidong Cao, Xuan Zhang |
| 2025 | Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning. | Zeyu Gan, Yun Liao, Yong Liu |
| 2025 | Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes. | Bhargav Ganguly, Yang Xu, Vaneet Aggarwal |
| 2025 | Feasible Action Search for Bandit Linear Programs via Thompson Sampling. | Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama |
| 2025 | It's My Data Too: Private ML for Datasets with Multi-User Training Examples. | Arun Ganesh, Ryan McKenna, Hugh Brendan McMahan, Adam Smith, Fan Wu |
| 2025 | A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach. | Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal |