Papers
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
Grzegorz Stefański, Paweł Daniluk, Artur Szumaczuk et al.
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
Ruohan Li, Yiqun Xie, Xiaowei Jia et al.
Solving Inverse Problems via Diffusion Optimal Control
Henry Li, Marcus Pereira
Solving Minimum-Cost Reach Avoid using Reinforcement Learning
Oswin So, Cheng Ge, Chuchu Fan
Solving Sparse \& High-Dimensional-Output Regression via Compression
Renyuan Li, Zhehui Chen, Guanyi Wang
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding
Chenhao Zhou, Zebang Shen, Chao Zhang et al.
SongCreator: Lyrics-based Universal Song Generation
Shun Lei, Yixuan Zhou, Boshi Tang et al.
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
Zian Su, Xiangzhe Xu, Ziyang Huang et al.
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
Julius Vetter, Guy Moss, Cornelius Schröder et al.
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
David M. Knigge, David R. Wessels, Riccardo Valperga et al.
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
Minsu Kim, Walid Saad, Merouane Debbah et al.
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Matthew Zurek, Yudong Chen
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
Shuchen Zhu, Boao Kong, Songtao Lu et al.
Sparse Bayesian Generative Modeling for Compressive Sensing
Benedikt Böck, Sadaf Syed, Wolfgang Utschick
Sparse High Rank Adapters
Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi et al.
SparseLLM: Towards Global Pruning of Pre-trained Language Models
Guangji Bai, Yijiang Li, Chen Ling et al.
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey, Shane Bergsma, Joel Hestness
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis
Qitao Zhao, Shubham Tulsiani
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors
Chenyang Ma, Kai Lu, Ta-Ying Cheng et al.
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models
An-Chieh Cheng, Hongxu Yin, Yang Fu et al.
Spatio-Spectral Graph Neural Networks
Simon Geisler, Arthur Kosmala, Daniel Herbst et al.
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras
Bin Fan, Jiaoyang Yin, Yuchao Dai et al.
Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication
Olaf Lipinski, Adam J. Sobey, Federico Cerutti et al.