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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 151–200 of 395 papers

TitleStatusHype
SPT: Spectral Transformer for Red Giant Stars Age and Mass Estimation—0
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy—0
Slide FFT on a homogeneous mesh in wafer-scale computing—0
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets—0
Communication protocol for a satellite-swarm interferometer—0
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness—0
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything—0
nbi: the Astronomer's Package for Neural Posterior Estimation—0
Perception of Misalignment States for Sky Survey Telescopes with the Digital Twin and the Deep Neural Networks—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
Bayesian Imaging for Radio Interferometry with Score-Based Priors—0
Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series—0
RFI Detection with Spiking Neural NetworksCode0
Astronomical Images Quality Assessment with Automated Machine Learning—0
Interferometric Neural NetworksCode0
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers—0
Transformers for scientific data: a pedagogical review for astronomers—0
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI—0
Streaming Heteroscedastic Probabilistic PCA with Missing Data—0
5G Advanced: Wireless Channel Virtualization and Resource Mapping for Real Time Spectrum Sharing—0
AstroPortal: An ontology repository concept for astronomy, astronautics and other space topicsCode0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy—0
CLEANing Cygnus A deep and fast with R2D2—0
Deep supervised hashing for fast retrieval of radio image cubes—0
PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation—0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts—0
Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems—0
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation—0
The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrogramsCode0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
Intelligence of Astronomical Optical Telescope: Present Status and Future Perspectives—0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy—0
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsCode0
A brief review of contrastive learning applied to astrophysics—0
MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine LearningCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Advances on the classification of radio image cubes—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting MethodsCode0
Active Cost-aware Labeling of Streaming Data—0
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature—0
MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm—0
Learning the Night Sky with Deep Generative Priors—0
Hint assisted reinforcement learning: an application in radio astronomyCode0
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