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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 201–250 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
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
Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions—0
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics—0
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder—0
Unveiling the Power of Uncertainty: A Journey into Bayesian Neural Networks for Stellar dating—0
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