Author

Pei-Lin Zhao

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#artificial intelligence Preprint Oct 2026

ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting

Generative modeling has shown strong promise for multivariate time mseries (MTS) forecasting, especially scale to high-dimensional settings. Diffusion-based methods achieve competitive performance but typically require many sampling steps at inference. VAE-based non-iterative forecasting frameworks have therefore emerg...

Shi-Bo Feng, Wan-Jin Feng, Yang Qiu et al. · 0 citations

#machine learning Preprint Sep 2026

Distribution-Conditioned Task Routing for Class-Incremental Learning

Parameter-efficient adaptation enables continual learners to acquire task-specific knowledge through compact model updates while maintaining strong within-task performance. However, class-incremental inference requires each input to be classified among all classes seen so far without access to its task identity. For le...

Long-Huan Xu, Zhi-Peng Zhou, Wei-Liang Ji et al. · 0 citations