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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 101–125 of 395 papers

TitleStatusHype
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy—0
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers—0
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy—0
Contextualization of topics - browsing through terms, authors, journals and cluster allocations—0
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy—0
Building astroBERT, a language model for Astronomy & Astrophysics—0
Crowdsourcing Predictors of Residential Electric Energy Usage—0
A brief review of contrastive learning applied to astrophysics—0
Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation—0
Cyclic Imaging for All-Sky Interference Forecasting with Array Radio Telescopes—0
GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball—0
Disentangling Dense Embeddings with Sparse Autoencoders—0
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Bridging the Gap: A Decade Review of Time-Series Clustering Methods—0
Astronomical source finding services for the CIRASA visual analytic platform—0
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks—0
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy—0
A Review on Digital Pixel Sensors—0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era—0
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
A review of unsupervised learning in astronomy—0
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