Papers
Kronos: A Foundation Model for the Language of Financial Markets
Yu Shi, Zongliang Fu, Shuo Chen et al.
URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding
Yongxin Shi, Jiapeng Wang, Zeyu Shan et al.
Unsupervised Single-Channel Audio Separation with Diffusion Source Priors
Runwu Shi, Chang Li, Jiang Wang et al.
Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict
Jie Shi, Xiaodong Yue, Wei Liu et al.
Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays
Chang-Wei Shi, Shi-Shang Wang, Wu-Jun Li
Retaliatory Attacks Against Federated Unlearning via Data Leakage
Xinyi Sheng, Wei Bao, Hequn Wang et al.
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
Qilu Shen, Yingjie Wang, Jinhai Xiang
TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective
Lifeng Shen, Xuyang Li, Lele Long
Finding Time Series Anomalies Using Granular-Ball Vector Data Description
Lifeng Shen, Liang Peng, Ruiwen Liu et al.
SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute
Bowen Shen, Yuyue Chen, Peng Yang et al.
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
Zishan Shao, Yixiao Wang, Qinsi Wang et al.
Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion
Yi Shan, Liyang Gao, Yuena Lin et al.
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
Lianze Shan, Jitao Zhao, Dongxiao He et al.
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic
Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Francesca Palermo et al.
Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling
Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman et al.
Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-tuning
Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko
A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving
Timo Pierre Schrader, Lukas Lange, Tobias Kaminski et al.
Logical Characterizations of GNNs with Mean Aggregation
Moritz Schönherr, Carsten Lutz
Graph-Conditional Flow Matching for Relational Data Generation
Davide Scassola, Sebastiano Saccani, Luca Bortolussi
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
Andrey Savchenko, Oleg Kachan
DP-NCB: Privacy Preserving Fair Bandits
Dhruv Sarkar, Nishant Pandey, Sayak Ray Chowdhury
HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems
Ricardo G. Sanfelice
Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures
Pablo Ruiz-Morales, Dries Vanoost, Davy Pissoort et al.
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
Eran Rosenbluth, Martin Grohe
A Differential Perspective on Distributional Reinforcement Learning
Juan Sebastian Rojas, Chi-Guhn Lee