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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
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling—0
SpecGrav -- Detection of Gravitational Waves using Deep Learning—0
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden ContributorsCode1
Partially Coherent Radar Unties Range Resolution from Bandwidth Limitations—0
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework—0
Unsupervised Resource Allocation with Graph Neural NetworksCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
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
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across DomainsCode1
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
Self-Supervised Representation Learning for Astronomical ImagesCode1
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
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious timeCode1
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
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
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
Very Fast Streaming Submodular Function MaximizationCode1
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transientsCode0
Genetic Bi-objective Optimization Approach to Habitability Score—0
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
Extracting the main trend in a dataset: the Sequencer algorithmCode1
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
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep LearningCode1
End-to-end Sinkhorn Autoencoder with Noise GeneratorCode0
Advanced Single Image Resolution Upsurging Using a Generative Adversarial Network—0
Clustering via torque balance with mass and distance—0
Self-supervised Learning for Astronomical Image Classification—0
Mosaic Super-resolution via Sequential Feature Pyramid Networks—0
Prediction of Stellar Age with the Help of Extra-Trees Regressor in Machine Learning—0
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