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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 101–150 of 395 papers

TitleStatusHype
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting—0
WaveMo: Learning Wavefront Modulations to See Through Scattering—0
Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning MethodCode0
R2D2 image reconstruction with model uncertainty quantification in radio astronomy—0
Light Curve Classification with DistClassiPy: a new distance-based classifierCode1
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy—0
Low Complexity Radio Frequency Interference Mitigation for Radio Astronomy Using Large Antenna Array—0
Novelty Detection on Radio Astronomy Data using SignaturesCode0
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations—0
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion ModelCode1
Probabilistic Forecasting of Irregular Time Series via Conditional FlowsCode0
A Review on Digital Pixel Sensors—0
Multi-View Symbolic RegressionCode1
Large Language Models As MOOCs Graders—0
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model—0
Unsupervised Machine Learning for the Classification of Astrophysical X-ray SourcesCode1
SPT: Spectral Transformer for Red Giant Stars Age and Mass Estimation—0
A deep learning framework for jointly extracting spectra and source-count distributions in astronomy—0
Slide FFT on a homogeneous mesh in wafer-scale computing—0
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets—0
PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar CoordinatesCode1
Communication protocol for a satellite-swarm interferometer—0
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness—0
An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything—0
nbi: the Astronomer's Package for Neural Posterior Estimation—0
Perception of Misalignment States for Sky Survey Telescopes with the Digital Twin and the Deep Neural Networks—0
Bayesian Imaging for Radio Interferometry with Score-Based Priors—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series—0
RFI Detection with Spiking Neural NetworksCode0
Astronomical Images Quality Assessment with Automated Machine Learning—0
Interferometric Neural NetworksCode0
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers—0
Transformers for scientific data: a pedagogical review for astronomers—0
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI—0
Streaming Heteroscedastic Probabilistic PCA with Missing Data—0
5G Advanced: Wireless Channel Virtualization and Resource Mapping for Real Time Spectrum Sharing—0
AstroPortal: An ontology repository concept for astronomy, astronautics and other space topicsCode0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy—0
CLEANing Cygnus A deep and fast with R2D2—0
Deep supervised hashing for fast retrieval of radio image cubes—0
PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation—0
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts—0
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier CategoriesCode1
Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems—0
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation—0
The ROAD to discovery: machine learning-driven anomaly detection in radio astronomy spectrogramsCode0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
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