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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 51–100 of 395 papers

TitleStatusHype
Deep Sky Objects Detection with Deep Learning for Electronically Assisted Astronomy—0
Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks—0
Astronomical Images Quality Assessment with Automated Machine Learning—0
GBC: An Efficient and Adaptive Clustering Algorithm Based on Granular-Ball—0
Disentangling Dense Embeddings with Sparse Autoencoders—0
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics—0
Astronomical Pipeline Provenance: A Use Case Evaluation—0
Astronomical source finding services for the CIRASA visual analytic platform—0
An Effective Semi-supervised Divisive Clustering Algorithm—0
Deep supervised hashing for fast retrieval of radio image cubes—0
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations—0
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy—0
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy—0
Astro-NER -- Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator?—0
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era—0
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy—0
AstroMLab 4: Benchmark-Topping Performance in Astronomy Q&A with a 70B-Parameter Domain-Specialized Reasoning Model—0
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy—0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline—0
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy—0
AstroMLab 1: Who Wins Astronomy Jeopardy!?—0
A General Approach to Domain Adaptation with Applications in Astronomy—0
Advancing RFI-Detection in Radio Astronomy with Liquid State Machines—0
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test—0
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architecture—0
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation—0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy—0
Deep Variational Semi-Supervised Novelty Detection—0
AstroM^3: A self-supervised multimodal model for astronomy—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
Advances on the classification of radio image cubes—0
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets—0
Category-based Galaxy Image Generation via Diffusion Models—0
Advanced Single Image Resolution Upsurging Using a Generative Adversarial Network—0
AI Agents for Ground-Based Gamma Astronomy—0
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian—0
AstroClearNet: Deep image prior for multi-frame astronomical image restoration—0
Multi-layered characterization of hot stellar systems with confidence—0
Data-driven Influence Based Clustering of Dynamical Systems—0
Advanced Image Processing for Astronomical Images—0
Clustering via torque balance with mass and distance—0
Clustering with phylogenetic tools in astrophysics—0
Collaboration with Cellular Networks for RFI Cancellation at Radio Telescope—0
Communication protocol for a satellite-swarm interferometer—0
Building astroBERT, a language model for Astronomy & Astrophysics—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications—0
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases—0
Computation of Optical Refractive Index Structure Parameter from its Statistical Definition Using Radiosonde Data—0
A brief review of contrastive learning applied to astrophysics—0
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