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Astronomy

Astronomy is the study of everything in the universe beyond Earth’s atmosphere. That includes objects we can see with our naked eyes, like the Sun, the Moon, the planets, and the stars. It also contains objects we can only see with telescopes or other instruments, like faraway galaxies and tiny particles. And it even includes questions about things we can't see, like dark matter and energy.

Papers

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Showing 226–250 of 395 papers

TitleStatusHype
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data—0
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Mathematical Model of International Trade and Global Economy—0
Quantum Machine Learning for Radio Astronomy—0
Building astroBERT, a language model for Astronomy & Astrophysics—0
Learning to learn STEM courses—0
Learning Methods for Solving Astronomy Course Problems—0
E(2) Equivariant Self-Attention for Radio AstronomyCode0
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?Code0
The diffusion of scientific terms – tracing individuals’ influence in the history of science for English—0
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
Robustness of deep learning algorithms in astronomy -- galaxy morphology studies—0
Photon Limited Non-Blind Deblurring Using Algorithm UnrollingCode1
Practical Galaxy Morphology Tools from Deep Supervised Representation LearningCode1
Photon-Limited Deblurring using Algorithm Unrolling—0
Self-supervised denoising for massive noisy images—0
Astronomical source finding services for the CIRASA visual analytic platform—0
On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-EncodersCode0
A New Approach for Image Authentication Framework for Media Forensics Purpose—0
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing—0
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction ImagingCode1
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Data science and Machine learning in the Clouds: A Perspective for the Future—0
Noisy Labels for Weakly Supervised Gamma Hadron Classification—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
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