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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 351–395 of 395 papers

TitleStatusHype
Deep-Learnt Classification of Light CurvesCode0
Crowdsourcing Predictors of Residential Electric Energy Usage—0
Exploit imaging through opaque wall via deep learning—0
A unified method for super-resolution recovery and real exponential-sum separation—0
Exhaustive search for sparse variable selection in linear regression—0
Image reconstruction by domain transform manifold learningCode0
Converting High-Dimensional Regression to High-Dimensional Conditional Density EstimationCode0
Data-adaptive statistics for multiple hypothesis testing in high-dimensional settingsCode0
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy—0
Restoration of Images with Wavefront Aberrations—0
How brains are built: Principles of computational neuroscience—0
PSF field learning based on Optimal Transport Distances—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
Astronomical image reconstruction with convolutional neural networksCode0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Selective De-noising of Sparse-Coloured Images—0
Seeing into Darkness: Scotopic Visual RecognitionCode0
Technical Report: Graph-Structured Sparse Optimization for Connected Subgraph Detection—0
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression—0
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)—0
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations—0
Clustering with phylogenetic tools in astrophysics—0
Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset—0
Bigger Buffer k-d Trees on Multi-Many-Core SystemsCode0
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?—0
Quantifying the Cognitive Extent of Science—0
Super-Resolution Off the Grid—0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
Distributed image reconstruction for very large arrays in radio astronomy—0
Removing systematic errors for exoplanet search via latent causesCode0
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy—0
Contextualization of topics - browsing through terms, authors, journals and cluster allocations—0
Fast and optimal nonparametric sequential design for astronomical observations—0
An Effective Semi-supervised Divisive Clustering Algorithm—0
Variational Inference for Gaussian Process Modulated Poisson Processes—0
The Continuity of Images by Transmission Imaging Revisited—0
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets—0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy—0
A Study on Classification in Imbalanced and Partially-Labelled Data Streams—0
Spectral Classification Using Restricted Boltzmann Machine—0
Active Learning of Model Evidence Using Bayesian Quadrature—0
Poisson noise reduction with non-local PCA—0
Photometric Redshift Error EstimatorsCode0
Optical Interferometry in AstronomyCode0
Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees—0
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