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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 226–250 of 395 papers

TitleStatusHype
Une version polyatomique de l'algorithme Frank-Wolfe pour résoudre le problème LASSO en grandes dimensions—0
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics—0
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder—0
Unveiling the Power of Uncertainty: A Journey into Bayesian Neural Networks for Stellar dating—0
Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges—0
Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis—0
Using Large Language Models for Automated Grading of Student Writing about Science—0
Variational Inference for Gaussian Process Modulated Poisson Processes—0
Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees—0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
WaveMo: Learning Wavefront Modulations to See Through Scattering—0
What is the Role of Large Language Models in the Evolution of Astronomy Research?—0
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multi-band Imaging Data—0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy—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
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