4 papers · 1 filter
Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck
Xinyu Liu, Xu Zhang, Can Chen +1
Understanding how backdoor data influences neural network training dynamics remains a complex and underexplored challenge. In this paper, we present a rigorous analysis of the impa…
SynCell: Contextualized Drug Synergy Prediction
Keqin Peng, Guangxin Su, Qinshan Shi +4
Drug synergy is profoundly influenced by cellular context, as variations in protein interaction landscapes and pathway activities across cell types reshape how drugs act in combina…
Data-driven model order reduction for T-Product-Based dynamical systems
Shenghan Mei, Ziqin He, Yidan Mei +4
Model order reduction plays a crucial role in simplifying complex systems while preserving their essential dynamic characteristics, making it an invaluable tool in a wide range of…
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance
Zhaoying Wang, Yingdan Shi, Xiang Liu +3
Drug-side effect research is vital for understanding adverse reactions arising in complex multi-drug therapies. However, the scarcity of higher-order datasets that capture the comb…