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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 51–100 of 395 papers

TitleStatusHype
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best PracticesCode0
Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio TelescopesCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Astronomical image reconstruction with convolutional neural networksCode0
Optical Interferometry in AstronomyCode0
On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-EncodersCode0
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case StudyCode0
Nested sampling with any prior you likeCode0
A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learningCode0
Novelty Detection on Radio Astronomy Data using SignaturesCode0
Prediction of soft proton intensities in the near-Earth space using machine learningCode0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting MethodsCode0
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine LearningCode0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Astrometric Calibration and Source Characterisation of the Latest Generation Neuromorphic Event-based Cameras for Space ImagingCode0
Input Selection for Bandwidth-Limited Neural Network InferenceCode0
Learning Bayesian posteriors with neural networks for gravitational-wave inferenceCode0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
Photometric Redshift Error EstimatorsCode0
Impact of satellites streaks for observational astronomy: a study on data captured during one year from Luxembourg Greater RegionCode0
Hint assisted reinforcement learning: an application in radio astronomyCode0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-SeriesCode0
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networksCode0
Interferometric Neural NetworksCode0
Evaluating Bayesian deep learning for radio galaxy classificationCode0
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology AugmentationCode0
Astroalign: A Python module for astronomical image registrationCode0
End-to-end Sinkhorn Autoencoder with Noise GeneratorCode0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
Bigger Buffer k-d Trees on Multi-Many-Core SystemsCode0
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?Code0
Carving out the low surface brightness universe with NoiseChiselCode0
Efficient Saliency Maps for Explainable AICode0
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
Bayesian Reconstruction of Fourier PairsCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Image reconstruction by domain transform manifold learningCode0
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic ImagingCode0
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate ModelingCode0
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active LearningCode0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
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