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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 201–250 of 395 papers

TitleStatusHype
Applications of AI in Astronomy—0
Improving astroBERT using Semantic Textual Similarity—0
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis—0
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data—0
Elements of effective machine learning datasets in astronomy—0
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 circle—0
Bayesian Detection of a Sinusoidal Signal with Randomly Varying Frequency—0
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy—0
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems—0
Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques—0
Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope—0
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 Hamiltonian—0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
ForestEyes Project: Conception, Enhancements, and Challenges—0
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 Recoveries—0
Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
Performance Bounds for Cooperative Localisation in the Starlink Network—0
Poissonian Blurred Image Deconvolution by Framelet based Local Minimal Prior—0
GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball—0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
Identifying outliers in astronomical images with unsupervised machine learning—0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Identifying Exoplanets with Machine Learning Methods: A Preliminary Study—0
Computation of Optical Refractive Index Structure Parameter from its Statistical Definition Using Radiosonde Data—0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate ModelingCode0
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesCode0
Determining Research Priorities for Astronomy Using Machine Learning—0
RRL:Regional Rotation Layer in Convolutional Neural Networks—0
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional ImagesCode0
Optimal Transport for Super Resolution Applied to Astronomy Imaging—0
Performance Evaluation of Infrared Image Enhancement Techniques—0
Robust line-of-sight pointing control on-board a stratospheric balloon-borne platform—0
Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks—0
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data—0
Mathematical Model of International Trade and Global Economy—0
Quantum Machine Learning for Radio Astronomy—0
Building astroBERT, a language model for Astronomy & Astrophysics—0
Learning Methods for Solving Astronomy Course Problems—0
Learning to learn STEM courses—0
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