:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gómez, Pablo, Ruhberg, Laslo E., Nardone, Maria Teresa, O'Ryan, David
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Instrumentation and Methods for Astrophysics
Online Access:	https://arxiv.org/abs/2505.03509
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High-Redshift Gravitational Lens Discoveries in JWST NIRCam Using AnomalyMatch
by: Dima, Julia, et al.
Published: (2026)

Identifying Astrophysical Anomalies in 99.6 Million Cutouts from the Hubble Legacy Archive Using AnomalyMatch
by: O'Ryan, David, et al.
Published: (2025)

Cutana: A High-Performance Tool for Astronomical Image Cutout Generation at Petabyte Scale
by: Gómez, Pablo, et al.
Published: (2025)

Semi-supervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters
by: Lin, Sheng-Chieh, et al.
Published: (2024)

Semi-supervised Spectral Classification of DESI White Dwarfs by Dimensionality Reduction
by: Byrne, Xander, et al.
Published: (2024)

Discovering Numerous Interstellar Objects with A Dedicated Space Telescope
by: Loeb, Abraham
Published: (2025)

Deep-TAO: The Deep Learning Transient Astronomical Object data set for Astronomical Transient Event Classification
by: Suárez-Pérez, John F., et al.
Published: (2025)

A Universal Method for Solar Filament Detection from H-alpha Observations using Semi-supervised Deep Learning
by: Diercke, Andrea, et al.
Published: (2024)

Comparing the morphology of molecular clouds without supervision
by: Richard, Pablo, et al.
Published: (2024)

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder
by: Tang, Yongling, et al.
Published: (2025)

Dark characterization of Ti/Al LEKIDs for the search of axions in the W-band
by: Rollano, Victor, et al.
Published: (2025)

Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations
by: Gómez, Pablo, et al.
Published: (2024)

astromorph: Self-supervised machine learning pipeline for astronomical morphology analysis
by: Bjerkeli, Per, et al.
Published: (2026)

Predictions of Imminent Earth Impactors Discovered by LSST
by: Chow, Ian, et al.
Published: (2026)

Cross-Polarization Reduction in Kinetic Inductance Detectors Based on Quasi-Lumped Resonators
by: Rollano, Victor, et al.
Published: (2025)

Active platform stabilisation with a 6D seismometer
by: Ubhi, Amit Singh, et al.
Published: (2022)

Radio Galaxy Zoo: Morphological classification by Fanaroff-Riley designation using self-supervised pre-training
by: Buatthaisong, Nutthawara, et al.
Published: (2025)

Variational views for self-supervised learning in radio astronomy
by: Alphonse, Johnny Joseph, et al.
Published: (2026)

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

A New Way to Discover Strong Gravitational Lenses: Pair-wise Spectroscopic Search from DESI DR1
by: Hsu, Yuan-Ming, et al.
Published: (2025)

Astronomical image denoising by self-supervised deep learning and restoration processes
by: Liu, Tie, et al.
Published: (2025)

Real-Time Active Learning for optimised spectroscopic follow-up: Enhancing early SN Ia classification with the Fink broker
by: Möller, A., et al.
Published: (2025)

Building Machine Learning Challenges for Anomaly Detection in Science
by: Campolongo, Elizabeth G., et al.
Published: (2025)

16 new quasars at the end of the reionization unveiled by self-supervised learning
by: Martínez-Ramírez, L. N., et al.
Published: (2026)

The classification of real and bogus transients using active learning and semi-supervised learning
by: Liu, Yating, et al.
Published: (2024)

Integrating supervised and reinforcement learning for predictive control with an unmodulated pyramid wavefront sensor for adaptive optics
by: Pou, Bartomeu, et al.
Published: (2024)

Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery
by: Riggi, S., et al.
Published: (2024)

Self-supervised component separation for the extragalactic submillimeter sky
by: Bonjean, V., et al.
Published: (2022)

A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys
by: Luo, Yufeng, et al.
Published: (2025)

Technosignature Searches of Interstellar Objects
by: Davenport, James R. A., et al.
Published: (2025)

FANSIC: a Fast ANalog SiPM Integrated Circuit for the readout of large silicon photomultipliers
by: Giangrande, Luca, et al.
Published: (2024)

Using Active Learning to Improve Quasar Identification for the DESI Spectra Processing Pipeline
by: Green, Dylan, et al.
Published: (2025)

Object classification with Convolutional Neural Networks: from KiDS to Euclid
by: Kleijn, G. A. Verdoes, et al.
Published: (2024)

Cosmo3DFlow: Wavelet Flow Matching for Spatial-to-Spectral Compression in Reconstructing the Early Universe
by: Islam, Md. Khairul, et al.
Published: (2026)

Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts
by: Herrera-Martin, Antonio, et al.
Published: (2024)

Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches
by: Jacobson-Bell, Ben, et al.
Published: (2024)

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

Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection
by: Jia, Minghui, et al.
Published: (2026)

LearningMatch: Siamese Neural Network Learns the Match Manifold
by: Green, Susanna, et al.
Published: (2025)

STIPS: The Nancy Grace Roman Space Telescope Imaging Product Simulator
by: STIPS Development Team, et al.
Published: (2024)