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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 251–275 of 395 papers

TitleStatusHype
Fast and optimal nonparametric sequential design for astronomical observations—0
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets—0
First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning—0
ForestEyes Project: Conception, Enhancements, and Challenges—0
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning—0
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
Gamma/hadron separation in the TAIGA experiment with neural network methods—0
Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset—0
Genetic Bi-objective Optimization Approach to Habitability Score—0
Grading Massive Open Online Courses Using Large Language Models—0
Hamiltonian Matching for Symplectic Neural Integrators—0
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
How brains are built: Principles of computational neuroscience—0
Hyperspectral-Multispectral Image Fusion with Weighted LASSO—0
Identifying Exoplanets with Machine Learning Methods: A Preliminary Study—0
Identifying outliers in astronomical images with unsupervised machine learning—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
Image-based deep learning for classification of noise transients in gravitational wave detectors—0
Improving astroBERT using Semantic Textual Similarity—0
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI—0
Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives—0
Interpreting Galaxy Deblender GAN from the Discriminator's Perspective—0
Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy—0
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