| 2025 | Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning. | Ankit Pratap Singh, Ahmed Ali Abbasi, Namrata Vaswani |
| 2025 | A General Framework for Inference-time Scaling and Steering of Diffusion Models. | Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen McKeown, Rajesh Ranganath |
| 2025 | Test-Time Canonicalization by Foundation Models for Robust Perception. | Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash |
| 2025 | VCT: Training Consistency Models with Variational Noise Coupling. | Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji |
| 2025 | Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance. | Marta Gentiloni Silveri, Antonio Ocello |
| 2025 | Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It. | Marvin F. da Silva, Felix Dangel, Sageev Oore |
| 2025 | EvoPress: Accurate Dynamic Model Compression via Evolutionary Search. | Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic, Dan Alistarh |
| 2025 | Variational Phylogenetic Inference with Products over Bipartitions. | Evan Sidrow, Alexandre Bouchard-Ct, Lloyd T. Elliott |
| 2025 | Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications. | Maria Despoina Siampou, Jialiang Li, John Krumm, Cyrus Shahabi, Hua Lu |
| 2025 | Probabilistic Factorial Experimental Design for Combinatorial Interventions. | Divya Shyamal, Jiaqi Zhang, Caroline Uhler |
| 2025 | Position: Contextual Integrity is Inadequately Applied to Language Models. | Yan Shvartzshnaider, Vasisht Duddu |
| 2025 | Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models. | Alina Shutova, Vladimir Malinovskii, Vage Egiazarian, Denis Kuznedelev, Denis Mazur, Nikita Surkov, Ivan Ermakov, Dan Alistarh |
| 2025 | Predictive Data Selection: The Data That Predicts Is the Data That Teaches. | KaShun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He |
| 2025 | Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models. | Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu |
| 2025 | Refining Adaptive Zeroth-Order Optimization at Ease. | Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai |
| 2025 | Diversified Flow Matching with Translation Identifiability. | Sagar Shrestha, Xiao Fu |
| 2025 | LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. | Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy |
| 2025 | DSBRouter: End-to-end Global Routing via Diffusion Schr\"{o}dinger Bridge. | Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan |
| 2025 | EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification. | Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye |
| 2025 | Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions. | Supratim Shit, Gurmehak Kaur Chadha, Surendra Kumar, Bapi Chatterjee |
| 2025 | Direct Prediction Set Minimization via Bilevel Conformal Classifier Training. | Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa, Yan Yan |
| 2025 | Statistical Test for Feature Selection Pipelines by Selective Inference. | Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi |
| 2025 | Offline Model-based Optimization for Real-World Molecular Discovery. | Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam |
| 2025 | Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation. | Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park |
| 2025 | OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference. | Seungjun Shin, Jaehoon Oh, Dokwan Oh |