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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 326–350 of 395 papers

TitleStatusHype
Input Selection for Bandwidth-Limited Neural Network InferenceCode0
Constraining the Parameters of High-Dimensional Models with Active LearningCode0
Desaturating EUV observations of solar flaring storms—0
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
A General Approach to Domain Adaptation with Applications in Astronomy—0
Transfer Learning in Astronomy: A New Machine-Learning Paradigm—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
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
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders—0
Pulsar Candidate Identification with Artificial Intelligence Techniques—0
On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data—0
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