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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 126–150 of 395 papers

TitleStatusHype
Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy—0
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm—0
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization—0
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations—0
Fast and optimal nonparametric sequential design for astronomical observations—0
Applications of AI in Astronomy—0
A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing—0
Estimating and detecting random processes on the unit circle—0
Bayesian Imaging for Radio Interferometry with Score-Based Priors—0
Bayesian Detection of a Sinusoidal Signal with Randomly Varying Frequency—0
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance—0
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model—0
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything—0
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts—0
Domain adaptation techniques for improved cross-domain study of galaxy mergers—0
Exhaustive search for sparse variable selection in linear regression—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
Distributed image reconstruction for very large arrays in radio astronomy—0
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV—0
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders—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
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
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