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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 176200 of 395 papers

TitleStatusHype
Applications of AI in Astronomy0
Improving astroBERT using Semantic Textual Similarity0
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis0
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data0
Elements of effective machine learning datasets in astronomy0
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 circle0
A Benchmark and Dataset for Post-OCR text correction in SanskritCode1
Bayesian Detection of a Sinusoidal Signal with Randomly Varying Frequency0
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy0
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems0
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques0
Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope0
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 Hamiltonian0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
ForestEyes Project: Conception, Enhancements, and Challenges0
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 Recoveries0
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment0
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