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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 151–175 of 395 papers

TitleStatusHype
GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball—0
Active Cost-aware Labeling of Streaming Data—0
Cyclic Imaging for All-Sky Interference Forecasting with Array Radio Telescopes—0
Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation—0
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy—0
Crowdsourcing Predictors of Residential Electric Energy Usage—0
Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?—0
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era—0
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy—0
Contextualization of topics - browsing through terms, authors, journals and cluster allocations—0
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy—0
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model—0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers—0
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy—0
Computation of Optical Refractive Index Structure Parameter from its Statistical Definition Using Radiosonde Data—0
AstroMLab 1: Who Wins Astronomy Jeopardy!?—0
A General Approach to Domain Adaptation with Applications in Astronomy—0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture—0
Advancing RFI-Detection in Radio Astronomy with Liquid State Machines—0
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation—0
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