| 2025 | Exogenous Isomorphism for Counterfactual Identifiability. | Yikang Chen, Dehui Du |
| 2025 | How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction. | Jun Chen, Hong Chen, Yonghua Yu, Yiming Ying |
| 2025 | On the Power of Learning-Augmented Search Trees. | Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen |
| 2025 | Scalable Private Partition Selection via Adaptive Weighting. | Justin Y. Chen, Vincent Cohen-Addad, Alessandro Epasto, Morteza Zadimoghaddam |
| 2025 | Subobject-level Image Tokenization. | Delong Chen, Samuel Cahyawijaya, Jianfeng Liu, Baoyuan Wang, Pascale Fung |
| 2025 | Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration. | Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou |
| 2025 | Learning Safety Constraints for Large Language Models. | Xin Chen, Yarden As, Andreas Krause |
| 2025 | Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization. | Jianting Chen |
| 2025 | Relational Invariant Learning for Robust Solvation Free Energy Prediction. | Yeyun Chen |
| 2025 | MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. | Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu |
| 2025 | A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing. | Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang |
| 2025 | Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization. | Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin |
| 2025 | Rethinking the Bias of Foundation Model under Long-tailed Distribution. | Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su |
| 2025 | PASS: Private Attributes Protection with Stochastic Data Substitution. | Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher |
| 2025 | Discriminative Policy Optimization for Token-Level Reward Models. | Hongzhan Chen, Tao Yang, Shiping Gao, Ruijun Chen, Xiaojun Quan, Hongtao Tian, Ting Yao |
| 2025 | Exploring Invariance in Images through One-way Wave Equations. | Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu |
| 2025 | Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. | Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin |
| 2025 | Non-Asymptotic Length Generalization. | Thomas Chen, Tengyu Ma, Zhiyuan Li |
| 2025 | LEVIS: Large Exact Verifiable Input Spaces for Neural Networks. | Mohamad Fares El Hajj Chehade, Wenting Li, Brian Wesley Bell, Russell Bent, Saif R. Kazi, Hao Zhu |
| 2025 | Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time. | Mohamad Fares El Hajj Chehade, Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Dinesh Manocha, Hao Zhu, Amrit Singh Bedi |
| 2025 | VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models. | Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin |
| 2025 | Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities. | Ruchika Chavhan, Abhinav Mehrotra, Malcolm Chadwick, Alberto Gil Couto Pimentel Ramos, Luca Morreale, Mehdi Noroozi, Sourav Bhattacharya |
| 2025 | Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics. | Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge |
| 2025 | A Closer Look at Multimodal Representation Collapse. | Abhra Chaudhuri, Anjan Dutta, Tu Bui, Serban Georgescu |
| 2025 | Text-to-LoRA: Instant Transformer Adaption. | Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange |