| 2025 | Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance. | Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu |
| 2025 | Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO. | Ayman Chaouki, Jesse Read, Albert Bifet |
| 2025 | Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. | Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi |
| 2025 | RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning. | Jason Chan, Robert J. Gaizauskas, Zhixue Zhao |
| 2025 | LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models. | Jinho Chang, Jong Chul Ye |
| 2025 | LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models. | Tzu-Tao Chang, Shivaram Venkataraman |
| 2025 | LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation. | Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen, Yiran Chen, Xin Zhang |
| 2025 | A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment. | Edward Y. Chang |
| 2025 | Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection. | Gengshuo Chang, Wei Zhang, Lehan Zhang |
| 2025 | MGD3 : Mode-Guided Dataset Distillation using Diffusion Models. | Jeffrey A. Chan-Santiago, Praveen Tirupattur, Gaurav Kumar Nayak, Gaowen Liu, Mubarak Shah |
| 2025 | A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks. | Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay |
| 2025 | Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables. | Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani K. Mallick |
| 2025 | SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval. | Nikolaos Chaidos, Angeliki Dimitriou, Maria Lymperaiou, Giorgos Stamou |
| 2025 | Transfer Q-Learning with Composite MDP Structures. | Jinhang Chai, Elynn Y. Chen, Lin Yang |
| 2025 | Variational Learning of Fractional Posteriors. | Kian Ming A. Chai, Edwin V. Bonilla |
| 2025 | Large Language Models to Diffusion Finetuning. | Edoardo Cetin, Tianyu Zhao, Yujin Tang |
| 2025 | Tackling View-Dependent Semantics in 3D Language Gaussian Splatting. | Jiazhong Cen, Xudong Zhou, Jiemin Fang, Changsong Wen, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian |
| 2025 | A Mathematical Framework for AI-Human Integration in Work. | L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi |
| 2025 | DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. | Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann |
| 2025 | The impact of uncertainty on regularized learning in games. | Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos |
| 2025 | A Theoretical Framework For Overfitting In Energy-based Modeling. | Giovanni Catania, Aurlien Decelle, Cyril Furtlehner, Beatriz Seoane |
| 2025 | Discovering Symbolic Cognitive Models from Human and Animal Behavior. | Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Nomi lteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld |
| 2025 | EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption. | Leo de Castro, Daniel Escudero, Adya Agrawal, Antigoni Polychroniadou, Manuela Veloso |
| 2025 | Shaping Fine-Tuning of Geospatial Foundation Models: Effects of Label Availability and Temporal Resolution. | Giovanni Castiglioni, Nicols Gonzalo Isla Fernndez, Cristian Buc Calderon, Javiera Castillo Navarro, Sbastien Lefvre, Valentin Barrire |
| 2025 | Low-Rank Thinning. | Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey |