Author

Han-Ru Bai

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#machine learning Preprint Oct 2026

Koopman Observers for Diffusion Acceleration: Correcting Feature Forecasts with Shallow Measurements

This work introduces an observation-corrected Koopman framework for accelerating frozen diffusion models, and identifies finite-dimensional, time-dependent Koopman approximations that jointly describe the increments of shallow and deep network features.

Han-Ru Bai, Yuan-Chao Xu, Feng-Yi Li · 0 citations

#artificial intelligence Preprint Oct 2026

Efficient Reasoning with Flow Language Models

Flow Language Models (FLMs) have emerged as a continuous-state alternative to discrete diffusion language models, yet the role of their continuous representations in reasoning remains unclear. We investigate this question by comparing the reasoning efficiency of FLMs and discrete diffusion models, measured by solution...

Han-Ru Bai, Faissal Izermine, Oscar Davis et al. · 0 citations