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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
Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives—0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy—0
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction ReconstructionCode1
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsCode0
A brief review of contrastive learning applied to astrophysics—0
Forecasting Irregularly Sampled Time Series using GraphsCode1
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine LearningCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Advances on the classification of radio image cubes—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting MethodsCode0
Active Cost-aware Labeling of Streaming Data—0
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature—0
MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope—0
Astroformer: More Data Might not be all you need for ClassificationCode1
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model CompressionCode1
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm—0
Learning the Night Sky with Deep Generative Priors—0
A deep-learning search for technosignatures of 820 nearby starsCode1
Prediction-Powered InferenceCode2
Hint assisted reinforcement learning: an application in radio astronomyCode0
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