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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 51–75 of 395 papers

TitleStatusHype
Input Selection for Bandwidth-Limited Neural Network InferenceCode0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Astronomical image reconstruction with convolutional neural networksCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Interferometric Neural NetworksCode0
Image reconstruction by domain transform manifold learningCode0
Impact of satellites streaks for observational astronomy: a study on data captured during one year from Luxembourg Greater RegionCode0
AstroPortal: An ontology repository concept for astronomy, astronautics and other space topicsCode0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priorsCode0
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataCode0
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networksCode0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learningCode0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
Evaluating Bayesian deep learning for radio galaxy classificationCode0
Astrometric Calibration and Source Characterisation of the Latest Generation Neuromorphic Event-based Cameras for Space ImagingCode0
End-to-end Sinkhorn Autoencoder with Noise GeneratorCode0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
Hint assisted reinforcement learning: an application in radio astronomyCode0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
E(2) Equivariant Self-Attention for Radio AstronomyCode0
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-SeriesCode0
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