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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 1–50 of 395 papers

TitleStatusHype
Quantized symbolic time series approximationCode2
Self-Normalizing Neural NetworksCode2
Statistical Machine Learning for Astronomy -- A TextbookCode2
Autonomous clustering by fast find of mass and distance peaksCode2
Prediction-Powered InferenceCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Chimp: Efficient Lossless Floating Point Compression for Time Series DatabasesCode2
Wiener Guided DIP for Unsupervised Blind Image DeconvolutionCode1
Turbulence Strength C_n^2 Estimation from Video using Physics-based Deep LearningCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
Self-Supervised Representation Learning for Astronomical ImagesCode1
The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model CompressionCode1
Unsupervised Machine Learning for the Classification of Astrophysical X-ray SourcesCode1
Very Fast Streaming Submodular Function MaximizationCode1
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep LearningCode1
Practical Galaxy Morphology Tools from Deep Supervised Representation LearningCode1
Rethinking data-driven point spread function modeling with a differentiable optical modelCode1
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
Multi-View Symbolic RegressionCode1
PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar CoordinatesCode1
Convolutional neural networks: a magic bullet for gravitational-wave detection?Code1
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion ModelCode1
AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction ImagingCode1
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious timeCode1
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across DomainsCode1
Supernova Light Curves Approximation based on Neural Network ModelsCode1
Efficient Optimization of Echo State Networks for Time Series DatasetsCode1
Information-driven design of imaging systemsCode1
Unsupervised Resource Allocation with Graph Neural NetworksCode1
Using matrix-product states for time-series machine learningCode1
Maven: A Multimodal Foundation Model for Supernova ScienceCode1
Flow Matching for Posterior Inference with Simulator FeedbackCode1
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden ContributorsCode1
Forecasting Irregularly Sampled Time Series using GraphsCode1
A Benchmark and Dataset for Post-OCR text correction in SanskritCode1
AstroPT: Scaling Large Observation Models for AstronomyCode1
A deep-learning search for technosignatures of 820 nearby starsCode1
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessmentCode1
Photon Limited Non-Blind Deblurring Using Algorithm UnrollingCode1
Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction ReconstructionCode1
Astroformer: More Data Might not be all you need for ClassificationCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
Extracting the main trend in a dataset: the Sequencer algorithmCode1
Fully Adaptive Bayesian Algorithm for Data Analysis, FABADACode1
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier CategoriesCode1
Robust And Scalable Learning Of Complex Dataset Topologies Via ElpigraphCode1
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best PracticesCode0
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