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#artificial intelligence Preprint Sep 2026

DiffPTS: Rethinking Diffusion ELBO for Probabilistic Time Series Forecasting

Probabilistic time series forecasting requires modeling and predicting complex and time-varying distributions. Recently, Denoising Diffusion Probabilistic Model (DDPM)-based approaches have shown promise by equipping the dif- fusion process with pretrained mean and variance estimators to accommodate distributional shif...

Wei-Wei Ye, Dong-Yuan Li, Hang-Chen Liu et al. · 0 citations
Preprint Aug 2026

BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces

Functional connectome analysis examines brain-region interactions to understand and identify disorders such as autism spectrum disorder and Alzheimer's disease. Existing methods typically use GNNs and Transformers to model the full functional connectivity matrix. However, processing tens of thousands of connections int...

Si-Jing Wu, Dong-Yuan Li, Miaoting Huang et al. · 0 citations

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