2 papers
cs.LG2025
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization
Ren Wang, Pengcheng Zhou
Manifold learning aims to discover and represent low-dimensional structures underlying high-dimensional data while preserving critical topological and geometric properties. Existin…
cs.AI2025
Continuum-Interaction-Driven Intelligence: Human-Aligned Neural Architecture via Crystallized Reasoning and Fluid Generation
Pengcheng Zhou, Zhiqiang Nie, Haochen Li
Current AI systems based on probabilistic neural networks, such as large language models (LLMs), have demonstrated remarkable generative capabilities yet face critical challenges i…