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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 251–300 of 395 papers

TitleStatusHype
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?Code0
E(2) Equivariant Self-Attention for Radio AstronomyCode0
Robustness of deep learning algorithms in astronomy -- galaxy morphology studies—0
Swift sky localization of gravitational waves using deep learning seeded importance samplingCode0
The diffusion of scientific terms – tracing individuals’ influence in the history of science for English—0
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
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
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling—0
SpecGrav -- Detection of Gravitational Waves using Deep Learning—0
Partially Coherent Radar Unties Range Resolution from Bandwidth Limitations—0
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework—0
First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning—0
Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees—0
Prediction of soft proton intensities in the near-Earth space using machine learningCode0
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV—0
Morphological classification of astronomical images with limited labelling—0
Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms—0
Passive Inter-Photon Imaging—0
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature—0
Nested sampling with any prior you likeCode0
Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation—0
ZCal: Machine learning methods for calibrating radio interferometric data—0
The VIP Gallery for Video Processing Education—0
Model Optimization for Deep Space Exploration via Simulators and Deep Learning—0
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate—0
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series—0
Survey2Survey: A deep learning generative model approach for cross-survey image mapping—0
Bayesian Reconstruction of Fourier PairsCode0
Domain adaptation techniques for improved cross-domain study of galaxy mergers—0
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
Detection of asteroid trails in Hubble Space Telescope images using Deep Learning—0
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataCode0
Genetic Bi-objective Optimization Approach to Habitability Score—0
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transientsCode0
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology—0
Transient Classification in low SNR Gravitational Wave data using Deep Learning—0
Joint deconvolution and blind source separation on the sphere with an application to radio-astronomy—0
Cyclic Imaging for All-Sky Interference Forecasting with Array Radio Telescopes—0
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant NetworkCode0
Non-Convex Structured Phase Retrieval—0
Mapping the "long tail" of research funding: A topic analysis of NSF grant proposals in the Division of Astronomical Sciences—0
End-to-end Sinkhorn Autoencoder with Noise GeneratorCode0
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