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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
Reconstruction of muon bundles in KM3NeT detectors using machine learning methods—0
Restoration of Images with Wavefront Aberrations—0
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations—0
Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms—0
Robust line-of-sight pointing control on-board a stratospheric balloon-borne platform—0
Robustness of deep learning algorithms in astronomy -- galaxy morphology studies—0
RRL:Regional Rotation Layer in Convolutional Neural Networks—0
Scaling Laws for Emulation of Stellar Spectra—0
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows—0
Segmentation of high dimensional means over multi-dimensional change points and connections to regression trees—0
Selective De-noising of Sparse-Coloured Images—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
Self-supervised denoising for massive noisy images—0
Self-supervised Learning for Astronomical Image Classification—0
Single-epoch supernova classification with deep convolutional neural networks—0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy—0
Slide FFT on a homogeneous mesh in wafer-scale computing—0
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach—0
Sparse Data Generation Using Diffusion Models—0
SpecGrav -- Detection of Gravitational Waves using Deep Learning—0
Spectral Classification Using Restricted Boltzmann Machine—0
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
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