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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 1–50 of 395 papers

TitleStatusHype
Category-based Galaxy Image Generation via Diffusion Models—0
Exoplanet Classification through Vision Transformers with Temporal Image Analysis—0
Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology AugmentationCode0
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
When Astronomy Meets AI: Manazel For Crescent Visibility Prediction in MoroccoCode0
Unveiling the Power of Uncertainty: A Journey into Bayesian Neural Networks for Stellar dating—0
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
Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits—0
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging—0
Reconstruction of muon bundles in KM3NeT detectors using machine learning methods—0
AI Agents for Ground-Based Gamma Astronomy—0
Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges—0
Leveraging Error Resilience of Iterative Algorithms for Energy Efficiency: from Concept to Implementation—0
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach—0
Sparse Data Generation Using Diffusion Models—0
Gamma/hadron separation in the TAIGA experiment with neural network methods—0
Machine Learning in Gamma Astronomy—0
Multilingual Performance of a Multimodal Artificial Intelligence System on Multisubject Physics Concept Inventories—0
Scalable Cosmic AI Inference using Cloud Serverless Computing with FMICode0
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priorsCode0
Bridging the Gap: A Decade Review of Time-Series Clustering Methods—0
Towards Strong AI: Transformational Beliefs and Scientific Creativity—0
Using Large Language Models for Automated Grading of Student Writing about Science—0
Using matrix-product states for time-series machine learningCode1
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case StudyCode0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models—0
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictions—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
SuperCode: Sustainability PER AI-driven CO-DEsign—0
Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy—0
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