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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 201–225 of 395 papers

TitleStatusHype
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera—0
Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy—0
SPT: Spectral Transformer for Red Giant Stars Age and Mass Estimation—0
Stellar Cluster Detection using GMM with Deep Variational Autoencoder—0
Streaming Heteroscedastic Probabilistic PCA with Missing Data—0
SuperCode: Sustainability PER AI-driven CO-DEsign—0
Super-Resolution Off the Grid—0
Supervised Radio Frequency Interference Detection with SNNs—0
Survey2Survey: A deep learning generative model approach for cross-survey image mapping—0
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection—0
The Continuity of Images by Transmission Imaging Revisited—0
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework—0
The diffusion of scientific terms – tracing individuals’ influence in the history of science for English—0
The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models—0
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging—0
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy—0
The VIP Gallery for Video Processing Education—0
Towards Strong AI: Transformational Beliefs and Scientific Creativity—0
Transfer Learning in Astronomy: A New Machine-Learning Paradigm—0
Transformers for scientific data: a pedagogical review for astronomers—0
Transient Classification in low SNR Gravitational Wave data using Deep Learning—0
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques—0
Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries—0
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry—0
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature—0
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