Dario Dematties

Dario Dematties

AI Software Developer at StanhopeAI working on probabilistic autonomy for drone systems in GNSS-denied environments. His work spans autonomous perception, predictive world models, self-supervised learning, Vision Transformers, reinforcement learning, edge AI, and HPC.

A semi-supervised learning method for the identification of bad exposures in large imaging surveys

Published in Open Journal of Astrophysics, 2026

This work presents a semi-supervised learning method for identifying bad exposures in large imaging surveys.

Recommended citation: Yufeng Luo, Adam D. Myers, Alex Drlica-Wagner, Dario Dematties, Salma Borchani, Frank Valdes, Arjun Dey, David Schlegel, Rongpu Zhou, and DESI Legacy Imaging Surveys Team. (2026). "A semi-supervised learning method for the identification of bad exposures in large imaging surveys." Open Journal of Astrophysics. 9.