Author

George Michailidis

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#artificial intelligence Preprint Sep 2026

Acceleration of Diffusion Language Model through Discrete Average Generator

Discrete diffusion models and flow matching have emerged as powerful frameworks for generative modeling over discrete state spaces, yet efficient few-step generation remains a fundamental challenge. In this work, we introduce the Discrete Average Generator, a principled extension of MeanFlow to Continuous-Time Markov C...

Yi-Dong Ouyang, Zheng-Yan Wan, Themistoklis Haris et al. · 0 citations

#machine learning Preprint Sep 2026

Model-Agnostic Online Certificate-Driven Calibration for Time Series Forecasting Under Distribution Shift

Time series out-of-distribution generalization requires forecasters to remain reliable when deployment dynamics differ from training conditions due to covariate shift, concept shift, and temporal dependence. Probably Approximately Correct Bayesian domain adaptation provides computable certificates by decomposing target...

Chen-Feng Huang, Zi-Xuan Ma, George Michailidis · 3 citations