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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 351–395 of 395 papers

TitleStatusHype
Photometric Redshift Error EstimatorsCode0
The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrogramsCode0
Data-adaptive statistics for multiple hypothesis testing in high-dimensional settingsCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Converting High-Dimensional Regression to High-Dimensional Conditional Density EstimationCode0
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
Scalable Cosmic AI Inference using Cloud Serverless Computing with FMICode0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning MethodCode0
Astroalign: A Python module for astronomical image registrationCode0
Interferometric Neural NetworksCode0
Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio TelescopesCode0
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priorsCode0
Constraining the Parameters of High-Dimensional Models with Active LearningCode0
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataCode0
Anomaly detection in radio galaxy data with trainable COSFIRE filtersCode0
Learning Bayesian posteriors with neural networks for gravitational-wave inferenceCode0
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological InferenceCode0
Input Selection for Bandwidth-Limited Neural Network InferenceCode0
Seeing into Darkness: Scotopic Visual RecognitionCode0
Prediction of soft proton intensities in the near-Earth space using machine learningCode0
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-SeriesCode0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
Carving out the low surface brightness universe with NoiseChiselCode0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best PracticesCode0
Probabilistic Forecasting of Irregular Time Series via Conditional FlowsCode0
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active LearningCode0
AstroPortal: An ontology repository concept for astronomy, astronautics and other space topicsCode0
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging ObservationsCode0
Unsupervised Learning with Stein's Unbiased Risk EstimatorCode0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?Code0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
Self-supervised learning for radio-astronomy source classification: a benchmarkCode0
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine LearningCode0
Astronomical image reconstruction with convolutional neural networksCode0
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsCode0
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
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting MethodsCode0
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transientsCode0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology AugmentationCode0
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