:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Ye, Xu, Duo, Deng, Zhiwei, Tan, Jonathan C., Russakovsky, Olga
Format:	Preprint
Published:	2025
Subjects:	Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	https://arxiv.org/abs/2506.08065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emulating Radiative Transfer in Astrophysical Environments
by: Rost, Rune, et al.
Published: (2025)

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
by: Xu, Duo, et al.
Published: (2024)

Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
by: Mercader-Perez, Pablo, et al.
Published: (2026)

Surveying Image Segmentation Approaches in Astronomy
by: Xu, Duo, et al.
Published: (2024)

Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP
by: Chaini, Siddharth, et al.
Published: (2026)

Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics
by: Gorard, Jonathan, et al.
Published: (2025)

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
by: Ho, Matthew, et al.
Published: (2024)

Hyperspectral Lightcurve Inversion for Attitude Determination
by: Marto, Simão da Graça, et al.
Published: (2023)

Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction
by: Lin, Hsing Wen, et al.
Published: (2026)

AstroPT: Scaling Large Observation Models for Astronomy
by: Smith, Michael J., et al.
Published: (2024)

WATSON-Net: Vetting, Validation, and Analysis of Transits from Space Observations with Neural Networks
by: Dévora-Pajares, M., et al.
Published: (2025)

Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Models
by: Barco, Gabriel Missael, et al.
Published: (2025)

Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging
by: Guardiani, Matteo, et al.
Published: (2025)

Estimating Probability Densities with Transformer and Denoising Diffusion
by: Leung, Henry W., et al.
Published: (2024)

StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow
by: Jagwani, Gurjeet, et al.
Published: (2026)

LCDC: Bridging Science and Machine Learning for Light Curve Analysis
by: Kyselica, Daniel, et al.
Published: (2025)

Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
by: Keely, William R., et al.
Published: (2025)

Disk Wind Feedback from High-mass Protostars. V. Application of Multi-Modal Machine Learning to Characterize Outflow Properties
by: Xu, Duo, et al.
Published: (2026)

Graph Neural Networks for Interferometer Simulations
by: Kannan, Sidharth, et al.
Published: (2025)

AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics
by: Alkan, Atilla Kaan, et al.
Published: (2026)

Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry
by: Cherif, Mostafa, et al.
Published: (2024)

Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction
by: Seenivasan, Vikram, et al.
Published: (2026)

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
by: Serrano-Pérez, Jonathan, et al.
Published: (2024)

H-Alpha Anomalyzer: An Explainable Anomaly Detector for Solar H-Alpha Observations
by: Khazaei, Mahsa, et al.
Published: (2025)

Compression Method for Solar Polarization Spectra Collected from Hinode SOT/SP Observations
by: Batmunkh, Jargalmaa, et al.
Published: (2024)

Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation
by: Soriano, Jonathan, et al.
Published: (2024)

Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515
by: Dillmann, Steven, et al.
Published: (2024)

Autoencoder-Based Detection of Anomalous Stokes V Spectra in the Flare-Producing Active Region 13663 Using Hinode/SP Observations
by: Batmunkh, Jargalmaa, 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)

Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models
by: Schanz, Andreas, et al.
Published: (2023)

Automating Sensor Characterization with Bayesian Optimization
by: Cuevas-Zepeda, J., et al.
Published: (2025)

Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
by: Ramunno, Francesco Pio, et al.
Published: (2025)

Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation
by: Xia, Bin, et al.
Published: (2026)

Classification of compact radio sources in the Galactic plane with supervised machine learning
by: Riggi, S., et al.
Published: (2024)

Machine Learning Assisted Dynamical Classification of Trans-Neptunian Objects
by: Volk, Kathryn, et al.
Published: (2024)

Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics
by: Mao, Shunyuan, et al.
Published: (2025)

Learning novel representations of variable sources from multi-modal $\textit{Gaia}$ data via autoencoders
by: Huijse, P., et al.
Published: (2025)

Dynamic SBI: Round-free Sequential Simulation-Based Inference with Adaptive Datasets
by: Lyu, Huifang, et al.
Published: (2025)

Improving Generalization and Uncertainty Quantification of Photometric Redshift Models
by: Soriano, Jonathan, et al.
Published: (2026)

Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within $z < 1.4$ in the Hyper Supreme-Cam Wide Survey
by: Tian, Chuan, et al.
Published: (2025)