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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

Showing 326350 of 395 papers

TitleStatusHype
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
Reinforcement learningCode0
Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked AutoencodersCode0
On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-EncodersCode0
Removing systematic errors for exoplanet search via latent causesCode0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic ImagingCode0
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate ModelingCode0
Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515Code0
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networksCode0
Optical Interferometry in AstronomyCode0
Deep-Learnt Classification of Light CurvesCode0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Bayesian Reconstruction of Fourier PairsCode0
RFI Detection with Spiking Neural NetworksCode0
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case StudyCode0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei DetectionCode0
RGC-Bent: A Novel Dataset for Bent Radio Galaxy ClassificationCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learningCode0
Hint assisted reinforcement learning: an application in radio astronomyCode0
When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in MoroccoCode0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
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