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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 26–50 of 395 papers

TitleStatusHype
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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