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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 126–150 of 395 papers

TitleStatusHype
Anomaly detection in radio galaxy data with trainable COSFIRE filtersCode0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging ObservationsCode0
Efficient Saliency Maps for Explainable AICode0
End-to-end Sinkhorn Autoencoder with Noise GeneratorCode0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priorsCode0
On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-EncodersCode0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
RGC-Bent: A Novel Dataset for Bent Radio Galaxy ClassificationCode0
Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy—0
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations—0
A New Approach for Image Authentication Framework for Media Forensics Purpose—0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era—0
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy—0
An Effective Semi-supervised Divisive Clustering Algorithm—0
Astronomical source finding services for the CIRASA visual analytic platform—0
Data science and Machine learning in the Clouds: A Perspective for the Future—0
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian—0
Astronomical Images Quality Assessment with Automated Machine Learning—0
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