Author

Olga Zatsarynna

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Preprint Sep 2026

Where Compute Matters: Heterogeneous Attention for Efficient Video Diffusion

Efficient video generation requires reducing the quadratic cost of self-attention over long spatio-temporal token sequences. Existing efficient-attention methods typically apply the same computation pattern to every token, even though denoising difficulty varies substantially across video regions and evolves throughout...

Olga Zatsarynna, Denis Korzhenkov, Juergen Gall et al. · 0 citations

#machine learning Preprint Aug 2026

Post-Training VLMs for Video Mistake Detection

This work proposes the first video-language-model post-training technique for mistake detection, which uses a tailored reward function to encourage the model to identify discrepancies between an instruction and the corresponding video, and generalizes especially well to unseen procedures.

Federico Spurio, Olga Zatsarynna, Lars Doorenbos et al. · 1 citation