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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
Prediction-Powered InferenceCode2
Statistical Machine Learning for Astronomy -- A TextbookCode2
Chimp: Efficient Lossless Floating Point Compression for Time Series DatabasesCode2
Quantized symbolic time series approximationCode2
Autonomous clustering by fast find of mass and distance peaksCode2
Self-Normalizing Neural NetworksCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier CategoriesCode1
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADACode1
Multi-View Symbolic RegressionCode1
Flow Matching for Posterior Inference with Simulator FeedbackCode1
Forecasting Irregularly Sampled Time Series using GraphsCode1
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
Maven: A Multimodal Foundation Model for Supernova ScienceCode1
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across DomainsCode1
Convolutional neural networks: a magic bullet for gravitational-wave detection?Code1
Efficient Optimization of Echo State Networks for Time Series DatasetsCode1
A deep-learning search for technosignatures of 820 nearby starsCode1
A Benchmark and Dataset for Post-OCR text correction in SanskritCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessmentCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
Extracting the main trend in a dataset: the Sequencer algorithmCode1
Astroformer: More Data Might not be all you need for ClassificationCode1
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