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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 301–325 of 395 papers

TitleStatusHype
Astronomical Images Quality Assessment with Automated Machine Learning—0
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Astronomical source finding services for the CIRASA visual analytic platform—0
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations—0
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy—0
A Study on Classification in Imbalanced and Partially-Labelled Data Streams—0
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series—0
At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models—0
PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation—0
A unified method for super-resolution recovery and real exponential-sum separation—0
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders—0
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model—0
Bayesian Detection of a Sinusoidal Signal with Randomly Varying Frequency—0
Bayesian Imaging for Radio Interferometry with Score-Based Priors—0
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy—0
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks—0
Bridging the Gap: A Decade Review of Time-Series Clustering Methods—0
Building astroBERT, a language model for Astronomy & Astrophysics—0
Category-based Galaxy Image Generation via Diffusion Models—0
Multi-layered characterization of hot stellar systems with confidence—0
Clustering via torque balance with mass and distance—0
Clustering with phylogenetic tools in astrophysics—0
Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope—0
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