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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 101–150 of 395 papers

TitleStatusHype
Constraining the Parameters of High-Dimensional Models with Active LearningCode0
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine LearningCode0
Input Selection for Bandwidth-Limited Neural Network InferenceCode0
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataCode0
Converting High-Dimensional Regression to High-Dimensional Conditional Density EstimationCode0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Novelty Detection on Radio Astronomy Data using SignaturesCode0
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei DetectionCode0
Impact of satellites streaks for observational astronomy: a study on data captured during one year from Luxembourg Greater RegionCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Data and models for sunspots detection in solar images captured with smart telescopesCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transientsCode0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
Interferometric Neural NetworksCode0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Evaluating Bayesian deep learning for radio galaxy classificationCode0
AstroPortal: An ontology repository concept for astronomy, astronautics and other space topicsCode0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
A New Task: Deriving Semantic Class Targets for the Physical SciencesCode0
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic ImagingCode0
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate ModelingCode0
Anomaly detection in radio galaxy data with trainable COSFIRE filtersCode0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging ObservationsCode0
Efficient Saliency Maps for Explainable AICode0
End-to-end Sinkhorn Autoencoder with Noise GeneratorCode0
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
On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-EncodersCode0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
RGC-Bent: A Novel Dataset for Bent Radio Galaxy ClassificationCode0
Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy—0
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations—0
A New Approach for Image Authentication Framework for Media Forensics Purpose—0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era—0
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy—0
An Effective Semi-supervised Divisive Clustering Algorithm—0
Astronomical source finding services for the CIRASA visual analytic platform—0
Data science and Machine learning in the Clouds: A Perspective for the Future—0
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian—0
Astronomical Images Quality Assessment with Automated Machine Learning—0
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