Biography and Research Information
OverviewAI-generated summary
Abul Hayat's research focuses on the application of self-supervised representation learning techniques to astronomical image analysis. His work has explored methods for estimating galactic distances by leveraging these learning approaches. Hayat has published on this topic, including work that specifically addresses self-supervised representation learning for astronomical images and the estimation of galactic distances from image data using these methods. His scholarship metrics include an h-index of 3, with a total of 4 publications and 65 citations.
Metrics
- h-index: 3
- Publications: 4
- Citations: 65
Selected Publications
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Self-supervised Representation Learning for Astronomical Images (2021)
Collaboration Network
Top Collaborators
- Estimating Galactic Distances From Images Using Self-supervised Representation Learning
- Self-supervised Representation Learning for Astronomical Images
- Estimating Galactic Distances From Images Using Self-supervised Representation Learning
- Self-supervised Representation Learning for Astronomical Images
- Estimating Galactic Distances From Images Using Self-supervised Representation Learning
- Self-supervised Representation Learning for Astronomical Images
- Self-supervised Representation Learning for Astronomical Images
- Estimating Galactic Distances From Images Using Self-supervised Representation Learning
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