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Author

Assaf Schuster

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#machine learning Preprint Oct 2026

Quantile-Guided Diffusion for Probabilistic Time-Series Forecasting

Quantile forecasts summarize uncertainty at each future time step, while diffusion forecasters represent it through sampled future trajectories. We study how predicted quantiles can serve as distributional controls for diffusion forecasting. Specifically, we investigate how the mechanism of quantile integration affects...

Shadi Omari, Bashar Khoury, Assaf Schuster · 0 citations
Preprint Aug 2026

AnchorKV: Anchor-Residual KV Cache Compression

AnchorKV, a compression scheme that shrinks the key-value cache by $20\times$ without discarding a single token, and consistently preserves accuracy across models and datasets, while keeping the entire context at a fraction of its cost.

M. Khalaf, Yara Shamshoum, Nitzan Hodos et al. · 0 citations

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