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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
AstroM^3: A self-supervised multimodal model for astronomy—0
Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry—0
Exploring the Universe with SNAD: Anomaly Detection in Astronomy—0
Hamiltonian Matching for Symplectic Neural Integrators—0
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae StarsCode0
Data and models for sunspots detection in solar images captured with smart telescopesCode0
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation—0
Enhancing Peer Review in Astronomy: A Machine Learning and Optimization Approach to Reviewer Assignments for ALMA—0
What is the Role of Large Language Models in the Evolution of Astronomy Research?—0
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy—0
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy—0
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning—0
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture—0
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-SeriesCode0
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy—0
Disentangling Dense Embeddings with Sparse Autoencoders—0
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization—0
DeTurb: Atmospheric Turbulence Mitigation with Deformable 3D Convolutions and 3D Swin Transformers—0
Post-resonance reflections break the loss-vs-phase-resolution trade-off in microwave electronics—0
AstroMLab 1: Who Wins Astronomy Jeopardy!?—0
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations—0
Impact of satellites streaks for observational astronomy: a study on data captured during one year from Luxembourg Greater RegionCode0
A review of unsupervised learning in astronomy—0
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models—0
Grading Massive Open Online Courses Using Large Language Models—0
Supervised Radio Frequency Interference Detection with SNNs—0
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera—0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
Evaluating Bayesian deep learning for radio galaxy classificationCode0
FLARE up your data: Diffusion-based Augmentation Method in Astronomical ImagingCode0
Optimizing Coded-Apertures for Depth-Resolved Diffraction—0
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model—0
Reinforcement learningCode0
Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Functional Latent Dynamics for Irregularly Sampled Time Series ForecastingCode0
Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?—0
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
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
Probabilistic Forecasting of Irregular Time Series via Conditional FlowsCode0
A Review on Digital Pixel Sensors—0
Large Language Models As MOOCs Graders—0
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model—0
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