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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 101–150 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
Building astroBERT, a language model for Astronomy & Astrophysics—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
A brief review of contrastive learning applied to astrophysics—0
Crowdsourcing Predictors of Residential Electric Energy Usage—0
Bridging the Gap: A Decade Review of Time-Series Clustering Methods—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
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks—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
Data science and Machine learning in the Clouds: A Perspective for the Future—0
Astronomical Pipeline Provenance: A Use Case Evaluation—0
A Review on Digital Pixel Sensors—0
Astronomical source finding services for the CIRASA visual analytic platform—0
An Effective Semi-supervised Divisive Clustering Algorithm—0
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy—0
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy—0
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era—0
A review of unsupervised learning in astronomy—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy—0
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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