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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
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
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction ReconstructionCode1
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsCode0
A brief review of contrastive learning applied to astrophysics—0
Forecasting Irregularly Sampled Time Series using GraphsCode1
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
Astroformer: More Data Might not be all you need for ClassificationCode1
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model CompressionCode1
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm—0
Learning the Night Sky with Deep Generative Priors—0
A deep-learning search for technosignatures of 820 nearby starsCode1
Prediction-Powered InferenceCode2
Hint assisted reinforcement learning: an application in radio astronomyCode0
Applications of AI in Astronomy—0
Improving astroBERT using Semantic Textual Similarity—0
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis—0
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data—0
Elements of effective machine learning datasets in astronomy—0
A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learningCode0
Astrometric Calibration and Source Characterisation of the Latest Generation Neuromorphic Event-based Cameras for Space ImagingCode0
Estimating and detecting random processes on the unit circle—0
A Benchmark and Dataset for Post-OCR text correction in SanskritCode1
Bayesian Detection of a Sinusoidal Signal with Randomly Varying Frequency—0
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy—0
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems—0
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques—0
Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope—0
A New Task: Deriving Semantic Class Targets for the Physical SciencesCode0
Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked AutoencodersCode0
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time SeriesCode0
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian—0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
ForestEyes Project: Conception, Enhancements, and Challenges—0
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei DetectionCode0
SNGuess: A method for the selection of young extragalactic transientsCode0
Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries—0
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
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