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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 151–175 of 395 papers

TitleStatusHype
Gamma/hadron separation in the TAIGA experiment with neural network methods—0
How brains are built: Principles of computational neuroscience—0
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization—0
Elements of effective machine learning datasets in astronomy—0
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing—0
Genetic Bi-objective Optimization Approach to Habitability Score—0
Applications of AI in Astronomy—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
Enhancing Peer Review in Astronomy: A Machine Learning and Optimization Approach to Reviewer Assignments for ALMA—0
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
Distributed image reconstruction for very large arrays in radio astronomy—0
Estimating and detecting random processes on the unit circle—0
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks—0
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance—0
Exhaustive search for sparse variable selection in linear regression—0
Exoplanet Classification through Vision Transformers with Temporal Image Analysis—0
Exploit imaging through opaque wall via deep learning—0
Exploring the Universe with SNAD: Anomaly Detection in Astronomy—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations—0
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
Identifying outliers in astronomical images with unsupervised machine learning—0
Digital compensation of the side-band-rejection ratio in a fully analog 2SB sub-millimeter receiver—0
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