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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 201–250 of 395 papers

TitleStatusHype
Performance Bounds for Cooperative Localisation in the Starlink Network—0
Chimp: Efficient Lossless Floating Point Compression for Time Series DatabasesCode2
Supernova Light Curves Approximation based on Neural Network ModelsCode1
Poissonian Blurred Image Deconvolution by Framelet based Local Minimal Prior—0
GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball—0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
Identifying outliers in astronomical images with unsupervised machine learning—0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Identifying Exoplanets with Machine Learning Methods: A Preliminary Study—0
Computation of Optical Refractive Index Structure Parameter from its Statistical Definition Using Radiosonde Data—0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate ModelingCode0
Rethinking data-driven point spread function modeling with a differentiable optical modelCode1
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Determining Research Priorities for Astronomy Using Machine Learning—0
RRL:Regional Rotation Layer in Convolutional Neural Networks—0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
Optimal Transport for Super Resolution Applied to Astronomy Imaging—0
Performance Evaluation of Infrared Image Enhancement Techniques—0
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADACode1
Robust line-of-sight pointing control on-board a stratospheric balloon-borne platform—0
Wiener Guided DIP for Unsupervised Blind Image DeconvolutionCode1
Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks—0
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data—0
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Mathematical Model of International Trade and Global Economy—0
Quantum Machine Learning for Radio Astronomy—0
Building astroBERT, a language model for Astronomy & Astrophysics—0
Learning to learn STEM courses—0
Learning Methods for Solving Astronomy Course Problems—0
E(2) Equivariant Self-Attention for Radio AstronomyCode0
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?Code0
The diffusion of scientific terms – tracing individuals’ influence in the history of science for English—0
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
Robustness of deep learning algorithms in astronomy -- galaxy morphology studies—0
Photon Limited Non-Blind Deblurring Using Algorithm UnrollingCode1
Practical Galaxy Morphology Tools from Deep Supervised Representation LearningCode1
Photon-Limited Deblurring using Algorithm Unrolling—0
Self-supervised denoising for massive noisy images—0
Astronomical source finding services for the CIRASA visual analytic platform—0
On the Quality of Deep Representations for Kepler Light Curves Using Variational Auto-EncodersCode0
A New Approach for Image Authentication Framework for Media Forensics Purpose—0
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing—0
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction ImagingCode1
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Data science and Machine learning in the Clouds: A Perspective for the Future—0
Noisy Labels for Weakly Supervised Gamma Hadron Classification—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
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