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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 251–275 of 395 papers

TitleStatusHype
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
ZCal: Machine learning methods for calibrating radio interferometric data—0
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization—0
Disentangling Dense Embeddings with Sparse Autoencoders—0
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy—0
AI Agents for Ground-Based Gamma Astronomy—0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline—0
5G Advanced: Wireless Channel Virtualization and Resource Mapping for Real Time Spectrum Sharing—0
A brief review of contrastive learning applied to astrophysics—0
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation—0
Active Cost-aware Labeling of Streaming Data—0
Active Learning of Model Evidence Using Bayesian Quadrature—0
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy—0
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm—0
Advanced Image Processing for Astronomical Images—0
Advanced Single Image Resolution Upsurging Using a Generative Adversarial Network—0
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