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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 301–350 of 395 papers

TitleStatusHype
Hyperspectral-Multispectral Image Fusion with Weighted LASSO—0
Multi-layered characterization of hot stellar systems with confidence—0
Interpreting Galaxy Deblender GAN from the Discriminator's Perspective—0
Machine learning for total cloud cover prediction—0
On clustering uncertain and structured data with Wasserstein barycenters and a geodesic criterion for the number of clusters—0
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic ImagingCode0
Efficient Saliency Maps for Explainable AICode0
Deep Variational Semi-Supervised Novelty Detection—0
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era—0
Solving NMF with smoothness and sparsity constraints using PALMCode0
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder—0
New methods to assess and improve LIGO detector duty cycle—0
Carving out the low surface brightness universe with NoiseChiselCode0
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomyCode0
Learning Bayesian posteriors with neural networks for gravitational-wave inferenceCode0
Astroalign: A Python module for astronomical image registrationCode0
Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological InferenceCode0
Deriving a Quantitative Relationship Between Resolution and Human Classification Error—0
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
Input Selection for Bandwidth-Limited Neural Network InferenceCode0
Constraining the Parameters of High-Dimensional Models with Active LearningCode0
Convolutional neural networks: a magic bullet for gravitational-wave detection?Code1
Desaturating EUV observations of solar flaring storms—0
Efficient Optimization of Echo State Networks for Time Series DatasetsCode1
NEARBY Platform for Automatic Asteroids Detection and EURONEAR Surveys—0
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance—0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era—0
Advanced Image Processing for Astronomical Images—0
Transfer Learning in Astronomy: A New Machine-Learning Paradigm—0
A General Approach to Domain Adaptation with Applications in Astronomy—0
Particle identification in ground-based gamma-ray astronomy using convolutional neural networks—0
Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networksCode0
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders—0
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization—0
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning—0
Stellar Cluster Detection using GMM with Deep Variational Autoencoder—0
Digital compensation of the side-band-rejection ratio in a fully analog 2SB sub-millimeter receiver—0
Unsupervised Learning with Stein's Unbiased Risk EstimatorCode0
Robust And Scalable Learning Of Complex Dataset Topologies Via ElpigraphCode1
Machine Learning in Astronomy: A Case Study in Quasar-Star Classification—0
Image-based deep learning for classification of noise transients in gravitational wave detectors—0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications—0
Single-epoch supernova classification with deep convolutional neural networks—0
Pulsar Candidate Identification with Artificial Intelligence Techniques—0
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders—0
On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data—0
Deep-Learnt Classification of Light CurvesCode0
Crowdsourcing Predictors of Residential Electric Energy Usage—0
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