5 papers
Feature Learning Dynamics in Infinite-Depth Neural Networks
Zihan Yao, Ruoyu Wu, Tianxiang Gao
Deep neural networks have achieved remarkable success in practice, yet a mechanistic understanding of how features evolve during training remains incomplete, especially in the larg…
ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI
Haibo Tong, Feifei Zhao, Linghao Feng +18
Rapidly evolving AI exhibits increasingly strong autonomy and goal-directed capabilities, accompanied by derivative systemic risks that are more unpredictable, difficult to control…
Adaptive controllable architecture of analog Ising machine
Langyu Li, Ruoyu Wu, Yong Wang +4
As a quantum-inspired, non-traditional analog solver architecture, the analog Ising machine (AIM) has emerged as a distinctive computational paradigm to address the rapidly growing…
Limiting Spectral Distribution of High-dimensional Multivariate Kendall-
Ruoyu Wu
The multivariate Kendall- statistic, denoted by , plays a significant role in robust statistical analysis. This paper establishes the limiting properties of the empirical…
Light-SQ: Structure-aware Shape Abstraction with Superquadrics for Generated Meshes
Yuhan Wang, Weikai Chen, Zeyu Hu +19
In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction o…