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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 5175 of 395 papers

TitleStatusHype
Exoplanet Classification through Vision Transformers with Temporal Image Analysis0
Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flowsCode0
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best PracticesCode0
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy0
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows0
RGC-Bent: A Novel Dataset for Bent Radio Galaxy ClassificationCode0
Anomaly detection in radio galaxy data with trainable COSFIRE filtersCode0
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline0
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active LearningCode0
Radiometer Calibration using Machine Learning0
Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio TelescopesCode0
Detecting streaks in smart telescopes images with Deep Learning0
Advancing RFI-Detection in Radio Astronomy with Liquid State Machines0
AstroLLaVA: towards the unification of astronomical data and natural language0
AstroClearNet: Deep image prior for multi-frame astronomical image restoration0
When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in MoroccoCode0
Unveiling the Power of Uncertainty: A Journey into Bayesian Neural Networks for Stellar dating0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts0
Scaling Laws for Emulation of Stellar Spectra0
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging ObservationsCode0
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits0
Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems0
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging0
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