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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
Detection of asteroid trails in Hubble Space Telescope images using Deep Learning—0
Determining Research Priorities for Astronomy Using Machine Learning—0
DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Digital compensation of the side-band-rejection ratio in a fully analog 2SB sub-millimeter receiver—0
Distributed image reconstruction for very large arrays in radio astronomy—0
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment—0
Domain adaptation techniques for improved cross-domain study of galaxy mergers—0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization—0
Elements of effective machine learning datasets in astronomy—0
Enhancing Peer Review in Astronomy: A Machine Learning and Optimization Approach to Reviewer Assignments for ALMA—0
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
Estimating and detecting random processes on the unit circle—0
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance—0
Exhaustive search for sparse variable selection in linear regression—0
Exoplanet Classification through Vision Transformers with Temporal Image Analysis—0
Exploit imaging through opaque wall via deep learning—0
Exploring the Universe with SNAD: Anomaly Detection in Astronomy—0
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations—0
Fast and optimal nonparametric sequential design for astronomical observations—0
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets—0
First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning—0
ForestEyes Project: Conception, Enhancements, and Challenges—0
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning—0
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
Gamma/hadron separation in the TAIGA experiment with neural network methods—0
Generation of a Supervised Classification Algorithm for Time-Series Variable Stars with an Application to the LINEAR Dataset—0
Genetic Bi-objective Optimization Approach to Habitability Score—0
Grading Massive Open Online Courses Using Large Language Models—0
Hamiltonian Matching for Symplectic Neural Integrators—0
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy—0
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors—0
How brains are built: Principles of computational neuroscience—0
Hyperspectral-Multispectral Image Fusion with Weighted LASSO—0
Identifying Exoplanets with Machine Learning Methods: A Preliminary Study—0
Identifying outliers in astronomical images with unsupervised machine learning—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
Image-based deep learning for classification of noise transients in gravitational wave detectors—0
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