Author

K. K. Kömürcü

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#machine learning Preprint Sep 2026

Sharpening the Ensemble: An SSIM-Aligned Residual Refiner for Brain-MRI Inpainting Post-Processing

A deep ensemble of the two co-first-place 2025 models is formed and a lightweight residual refiner trained on the ensemble's own outputs under an $\ell_1$ loss augmented with a structural-similarity term whose weight $\lambda$ the authors vary, which improves an already strong ensemble without any large-scale retrainin...

K. K. Kömürcü, I. Öksüz · 0 citations

Jul 2026

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss

A value-aware extension of Multi-Agent Observation Sharing under Communication Dropout to patch communication gaps is proposed; it is referred to as Value-Aware MARO and dynamically weighting the predictor's loss function using advantage estimates derived from the underlying actor-critic architecture.

K. D. Kafadar, Eren Özaltun, M. E. Şanlı et al. · arXiv.org · 0 citations