| 2025 | Towards Cost-Effective Reward Guided Text Generation. | Ahmad Rashid, Ruotian Wu, Rongqi Fan, Hongliang Li, Agustinus Kristiadi, Pascal Poupart |
| 2025 | Diffusion Counterfactual Generation with Semantic Abduction. | Rajat Rasal, Avinash Kori, Fabio De Sousa Ribeiro, Tian Xia, Ben Glocker |
| 2025 | Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions. | Jiahua Rao, Dahao Xu, Wentao Wei, Yicong Chen, Mingjun Yang, Yuedong Yang |
| 2025 | Using Multiple Input Modalities can Improve Data-Efficiency and O.O.D. Generalization for ML with Satellite Imagery. | Arjun Rao, Esther Rolf |
| 2025 | FeatSharp: Your Vision Model Features, Sharper. | Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao |
| 2025 | Position: Principles of Animal Cognition to Improve LLM Evaluations. | Sunayana Rane, Cyrus F. Kirkman, Graham Todd, Amanda L. Royka, Ryan M. C. Law, Erica A. Cartmill, Jacob Gates Foster |
| 2025 | Position: AI's growing due process problem. | Sunayana Rane |
| 2025 | You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption. | Weihang Ran, Wei Yuan, Yinqiang Zheng |
| 2025 | Differentially Private Boxplots. | Kelly Ramsay, Jairo Diaz Rodriguez |
| 2025 | Communicating Activations Between Language Model Agents. | Vignav Ramesh, Kenneth Li |
| 2025 | Generation from Noisy Examples. | Ananth Raman, Vinod Raman |
| 2025 | The Relationship Between No-Regret Learning and Online Conformal Prediction. | Ramya Ramalingam, Shayan Kiyani, Aaron Roth |
| 2025 | Importance Sampling for Nonlinear Models. | Prakash Palanivelu Rajmohan, Fred Roosta |
| 2025 | Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional. | Sanjeev Raja, Martin Spka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan |
| 2025 | Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection. | Anirudh Sundara Rajan, Yong Jae Lee |
| 2025 | Human-Aligned Image Models Improve Visual Decoding from the Brain. | Nona Rajabi, Antnio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mrten Bjrkman, Danica Kragic |
| 2025 | Position: All Current Generative Fidelity and Diversity Metrics are Flawed. | Ossi Ris, Boris van Breugel, Mihaela van der Schaar |
| 2025 | Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention. | Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot |
| 2025 | Optimizing Test-Time Compute via Meta Reinforcement Finetuning. | Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur, Lewis Tunstall, Edward Emanuel Beeching, Ruslan Salakhutdinov, Aviral Kumar |
| 2025 | AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation. | Xiangyu Qu, Guojing Liu, Liang Li |
| 2025 | TabICL: A Tabular Foundation Model for In-Context Learning on Large Data. | Jingang Qu, David Holzmller, Gal Varoquaux, Marine Le Morvan |
| 2025 | P(all-atom) Is Unlocking New Path For Protein Design. | Wei Qu, Jiawei Guan, Rui Ma, Ke Zhai, Weikun Wu, Haobo Wang |
| 2025 | CoDy: Counterfactual Explainers for Dynamic Graphs. | Zhan Qu, Daniel Gomm, Michael Frber |
| 2025 | RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation. | Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu |
| 2025 | Visual Autoregressive Modeling for Image Super-Resolution. | Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou |