Tung Kieu

SEP 3, 2026 · PREPRINT

EPIC: Explicit Posterior Item Conditioning for Semantic ID Diffusion Recommendation

arXiv

This is an unrefereed arXiv preprint describing a novel machine-learning method for recommendation systems; it reports empirical results on benchmark datasets but has not undergone peer review.

AUG 17, 2026 · PREPRINT

SCENARIODIFF: A Scenario-level Guidance Framework for Multimodal Time Series Forecasting--Extended Version

arXiv

This is an unrefereed arXiv preprint presenting a machine learning framework for time series forecasting; it has not undergone peer review and describes a computational method rather than a clinical or biological study.

AUG 14, 2026 · PREPRINT

When Denoising Hurts: Rethinking the Terminal Step of Diffusion Time Series Forecasters -- Extended Version

arXiv

This is a preprint proposing algorithmic improvements to diffusion models for time series forecasting with computational validation across eight datasets, but lacks peer review and reports no comparison against established clinical or operational baselines.