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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

Showing 125 of 395 papers

TitleStatusHype
Statistical Machine Learning for Astronomy -- A TextbookCode2
Quantized symbolic time series approximationCode2
Autonomous clustering by fast find of mass and distance peaksCode2
Prediction-Powered InferenceCode2
Chimp: Efficient Lossless Floating Point Compression for Time Series DatabasesCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Self-Normalizing Neural NetworksCode2
Using matrix-product states for time-series machine learningCode1
Flow Matching for Posterior Inference with Simulator FeedbackCode1
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessmentCode1
Turbulence Strength C_n^2 Estimation from Video using Physics-based Deep LearningCode1
Maven: A Multimodal Foundation Model for Supernova ScienceCode1
Information-driven design of imaging systemsCode1
AstroPT: Scaling Large Observation Models for AstronomyCode1
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion ModelCode1
Multi-View Symbolic RegressionCode1
Unsupervised Machine Learning for the Classification of Astrophysical X-ray SourcesCode1
PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar CoordinatesCode1
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier CategoriesCode1
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction ReconstructionCode1
Forecasting Irregularly Sampled Time Series using GraphsCode1
Astroformer: More Data Might not be all you need for ClassificationCode1
The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model CompressionCode1
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
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