Author

Hakob A. Tamazyan

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#machine learning Preprint Oct 2026

Data Density Scaling Laws for Image Self-Distillation

This work proposes a modified version of a Chinchilla-style scaling law that explicitly accounts for two factors: the number of unique samples and repetition per sample, which provides a framework for understanding data-compute trade-offs and improves prediction in some regimes where repetition plays a central role.

Alvard Barseghyan, Ani Vanyan, H. Tamazyan et al. · 0 citations

#machine learning Nov 2025

GeoCrossBench: Cross-Band Generalization for Remote Sensing

GeoCrossBench is introduced, an extension of the popular GeoBench benchmark with a new evaluation protocol for cross-band generalization across sensors and satellites, and $\chi$ViT, a self-supervised extension of the band-agnostic ChannelViT, is developed as a supporting baseline for cross-band generalization.

Hakob A. Tamazyan, Ani Vanyan, Alvard Barseghyan et al. · arXiv.org · 4 citations · ⚡1