4 papers · 1 filter
How Accurate Is Accurate Enough?
Ningkang Peng, Qianfeng Yu, Jingyang Mao +2
How accurate must a numerical approximation be within a learning system? Primitive error alone cannot answer this question: errors of the same magnitude can have very different con…
Does a Shared Temperature Imply a Shared Angular Scale in Probabilistic Contrastive Learning?
Ningkang Peng, Qianfeng Yu, Jingyang Mao +4
In probabilistic contrastive learning, a shared temperature is commonly interpreted as a shared similarity scale, but this interpretation does not hold for high-dimensional distrib…
How to Achieve Prototypical Birth and Death for OOD Detection?
Ningkang Peng, Qianfeng Yu, Xiaoqian Peng +7
Out-of-Distribution (OOD) detection is crucial for the secure deployment of machine learning models, and prototype-based learning methods are among the mainstream strategies for ac…
PIS: A Physics-Informed System for Accurate State Partitioning of Protein Trajectories
Qianfeng Yu, Ningkang Peng, Yanhui Gu
Understanding the conformational evolution of -amyloid (), particularly the isoform, is fundamental to elucidating the pathogenic mechanisms underlying Alzheimer's…