The NEMESIS general YSO catalogue - I. Supervised classification with deep learning methods

arXiv:2609.31109 · astro-ph.SR, astro-ph.GA, astro-ph.IM · Submitted 2026-09-25 · Read on arXiv

astro-ph.SR, astro-ph.GA, astro-ph.IM

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/martongabor/DLYSO

Terminology

• F1 Score — 13× in this paper · explained in 3 episodes
• Local Bubble — 10× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Monte Carlo — 5× in this paper
• AGN — 4× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• International Conference on Computer Vision — 3× in this paper
• Spitzer Science Center — 3× in this paper
• Trace — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Accretion Shock — 1× in this paper · explained in 1 episode
• Associative Memory — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• International Conference on Machine Learning — 1× in this paper
• International Space Science Institute — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Velocity Dispersion — 1× in this paper · explained in 2 episodes

Sources

• Gaussian Error Linear Units (GELUs)
• SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
• TESS Input Catalog versions 8.1 and 8.2: Phantoms in the 8.0 Catalog and How to Handle Them

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