SOTAVerified

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 1–25 of 395 papers

TitleStatusHype
Category-based Galaxy Image Generation via Diffusion Models—0
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology AugmentationCode0
Exoplanet Classification through Vision Transformers with Temporal Image Analysis—0
Statistical Machine Learning for Astronomy -- A TextbookCode2
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 Astronomy—0
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows—0
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 Model—0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline—0
AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active LearningCode0
Radiometer Calibration using Machine Learning—0
Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio TelescopesCode0
Detecting streaks in smart telescopes images with Deep Learning—0
Advancing RFI-Detection in Radio Astronomy with Liquid State Machines—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
AstroClearNet: Deep image prior for multi-frame astronomical image restoration—0
Unveiling the Power of Uncertainty: A Journey into Bayesian Neural Networks for Stellar dating—0
When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in MoroccoCode0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Scaling Laws for Emulation of Stellar Spectra—0
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging ObservationsCode0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Show:102550
← PrevPage 1 of 16Next →

No leaderboard results yet.