Cover Image

Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Mirzoyan, Sergey
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Galaxy Classification with U-Net Variational Autoencoders. II. JWST High Redshift Galaxy Sample
by: Mirzoyan, Sergey
Published: (2025)

Galaxy Model Subtraction with a Convolutional Denoising Autoencoder
by: Liu, Rongrong, et al.
Published: (2025)

Technological Novelties of Ground-Based Very High Energy Gamma-Ray Astrophysics with the Imaging Atmospheric Cherenkov Telescopes
by: Mirzoyan, Razmik
Published: (2024)

Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder
by: Nicolaou, C., et al.
Published: (2025)

Unsupervised Discovery of High-Redshift Galaxy Populations with Variational Autoencoders
by: Saxena, Aayush
Published: (2025)

Minuet: A Diffusion Autoencoder for Compact Semantic Compression of Multi-Band Galaxy Images
by: Gagliano, Alexander T., et al.
Published: (2025)

The development of ground-based Gamma-ray astronomy: a historical overview of the pioneering experiments
by: Mirzoyan, Razmik
Published: (2024)

Denoising medium resolution stellar spectra with U-Net convolutional neural networks
by: Pál, Balázs, et al.
Published: (2025)

Emergent Denoising of SDSS Galaxy Spectra Through Unsupervised Deep Learning
by: Camilleri, Oliver, et al.
Published: (2025)

Machine Learning Workflow for Morphological Classification of Galaxies
by: Doser, Bernd, et al.
Published: (2025)

Inferring Planet and Disk Parameters from Protoplanetary Disk Images Using a Variational Autoencoder
by: Mahmud, Sayed Shafaat, et al.
Published: (2025)

Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology
by: Himes, Morgan, et al.
Published: (2025)

A CNN--Transformer Denoiser for low-$S/N$ Galaxy Spectra: Stellar Population Recovery in Synthetic Tests
by: Kim, Suk, et al.
Published: (2026)

Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder
by: Sun, Hui, et al.
Published: (2025)

Prospecting MeerKAT Continuum Data for Enigmatic Radio Sources with Unsupervised Vector-Quantised Variational Autoencoders
by: Ventura, Fernando L., et al.
Published: (2026)

Deep and Sparse Denoising Benchmarks for Spectral Data Cubes of High-z Galaxies: From Simulations to ALMA observations
by: Lahiry, Arnab, et al.
Published: (2026)

Galaxy Morphological Classification with Zernike Moments and Machine Learning Approaches
by: Ghaderi, Hamed, et al.
Published: (2025)

Direct Comparison of SiPM and PMT Sensor Performances in a large-size imaging air Cherenkov telescope
by: Hahn, A., et al.
Published: (2024)

Galaxy Mergers in UNIONS -- I: A Simulation-driven Hybrid Deep Learning Ensemble for Pure Galaxy Merger Classification
by: Ferreira, Leonardo, et al.
Published: (2024)

Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations
by: Chegeni, Amirmohammad, et al.
Published: (2025)

A Probabilistic Autoencoder for Galaxy SED Reconstruction and Redshift Estimation: Application to Mock SPHEREx Spectrophotometry
by: Feder, Richard M., et al.
Published: (2026)

Re-envisioning Euclid Galaxy Morphology: Identifying and Interpreting Features with Sparse Autoencoders
by: Wu, John F., et al.
Published: (2025)

A Multi-modal Fusion Network for Star-Galaxy Classification from CSST Simulated Datasets
by: Han, Zhuoming, et al.
Published: (2026)

E(2)-Equivariant Features in Machine Learning for Morphological Classification of Radio Galaxies
by: Lines, Natalie E. P., et al.
Published: (2024)

Exploring the Viability of Fisher Discriminants in Galaxy Morphology Classification
by: Zakaria, Sazatul Nadhilah, et al.
Published: (2026)

Deeper, Sharper, Faster: Application of Efficient Transformer to Galaxy Image Restoration
by: Park, Hyosun, et al.
Published: (2024)

Galaxy Morphology Classification via Deep Semi-Supervised Learning with Limited Labeled Data
by: Luo, Zhijian, et al.
Published: (2025)

Vision-Language Model Ensembles Achieve Human-Expert Accuracy for Galaxy Merger Classification
by: Chiaberge, Marco, et al.
Published: (2026)

Radio-Interferometric Image Reconstruction with Denoising Diffusion Restoration Models
by: Morales, Michel, et al.
Published: (2026)

Galaxy Imaging with Generative Models: Insights from a Two-Models Framework
by: Campagne, Jean-Eric
Published: (2025)

Automated Discovery of Anomalous Features in Ultra-Large Planetary Remote Sensing Datasets using Variational Autoencoders
by: Lesnikowski, Adam, et al.
Published: (2024)

FNet II: Spectral Classification of Quasars, Galaxies, Stars, and broad absorption line (BAL) Quasars
by: Moradi, R., et al.
Published: (2024)

Characterisation of the Atmosphere in Very High Energy Gamma-Astronomy for Imaging Atmospheric Cherenkov Telescopes
by: Prester, Dijana Dominis, et al.
Published: (2024)

A Semi-Supervised Variational Autoencoder for Generating Neutron Star Equations of State
by: Zhao, Tianqi, et al.
Published: (2026)

Automated Detection of Satellite Trails in Ground-Based Observations Using U-Net and Hough Transform
by: Stoppa, F., et al.
Published: (2024)

Silkscreen: Direct Measurements of Galaxy Distances from Survey Image Cutouts
by: Miller, Tim B., et al.
Published: (2024)

Hyperspectral Variational Autoencoders for Joint Data Compression and Component Extraction
by: Park, Core Francisco, et al.
Published: (2025)

Autoencoder Reconstruction of Cosmological Microlensing Magnification Maps
by: Khakpash, Somayeh, et al.
Published: (2024)

Why the Northern Hemisphere Needs a 30-40m Telescope and the Science at Stake: Shaping Galaxies and Their Stars with Stellar Population Gradients, IMF Variations and Environmental Drivers in Cluster Early-Type Galaxies
by: Vazdekis, A., et al.
Published: (2025)

Mixture-of-Expert Variational Autoencoders for Cross-Modality Embedding of Type Ia Supernova Data
by: Shen, Yunyi, et al.
Published: (2025)