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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 351–375 of 395 papers

TitleStatusHype
Detection of asteroid trails in Hubble Space Telescope images using Deep Learning—0
Determining Research Priorities for Astronomy Using Machine Learning—0
DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Digital compensation of the side-band-rejection ratio in a fully analog 2SB sub-millimeter receiver—0
Distributed image reconstruction for very large arrays in radio astronomy—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
Domain adaptation techniques for improved cross-domain study of galaxy mergers—0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization—0
Elements of effective machine learning datasets in astronomy—0
Enhancing Peer Review in Astronomy: A Machine Learning and Optimization Approach to Reviewer Assignments for ALMA—0
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
Estimating and detecting random processes on the unit circle—0
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance—0
Exhaustive search for sparse variable selection in linear regression—0
Exoplanet Classification through Vision Transformers with Temporal Image Analysis—0
Exploit imaging through opaque wall via deep learning—0
Exploring the Universe with SNAD: Anomaly Detection in Astronomy—0
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations—0
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