Generative Diffusion Priors for 3D Mapping of the Dark Universe
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Brandon, Scognamiglio, Diana, Doré, Olivier, Bouman, Katherine L. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mapping Dark-Matter Clusters via Physics-Guided Diffusion Models
by: Royo, Diego, et al.
Published: (2026)
by: Royo, Diego, et al.
Published: (2026)
Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
by: Zhao, Brandon, et al.
Published: (2025)
by: Zhao, Brandon, et al.
Published: (2025)
Deep Learning for Primordial $B$-mode Extraction
by: Guzman, Eric, et al.
Published: (2025)
by: Guzman, Eric, et al.
Published: (2025)
Listening to the Noise: Blind Denoising with Gibbs Diffusion
by: Heurtel-Depeiges, David, et al.
Published: (2024)
by: Heurtel-Depeiges, David, et al.
Published: (2024)
Masked Autoencoder Pretraining on Strong-Lensing Images for Joint Dark-Matter Model Classification and Super-Resolution
by: Prasha, Achmad Ardani, et al.
Published: (2025)
by: Prasha, Achmad Ardani, et al.
Published: (2025)
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey
by: Gupta, Nikhel, et al.
Published: (2024)
by: Gupta, Nikhel, et al.
Published: (2024)
Accelerating lensed quasar discovery and modeling with physics-informed variational autoencoders
by: Andika, Irham T., et al.
Published: (2024)
by: Andika, Irham T., et al.
Published: (2024)
Mapping Galactic Dust Emission and Extinction with HI, HII, and H$_2$
by: Cheng, Yun-Ting, et al.
Published: (2024)
by: Cheng, Yun-Ting, et al.
Published: (2024)
Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
Fast Theoretical Predictions for Spherical Fourier Analysis of Large-Scale Structures
by: Khek, Brandon, et al.
Published: (2022)
by: Khek, Brandon, et al.
Published: (2022)
Radio U-Net: a convolutional neural network to detect diffuse radio sources in galaxy clusters and beyond
by: Stuardi, Chiara, et al.
Published: (2024)
by: Stuardi, Chiara, et al.
Published: (2024)
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
by: Wagner-Carena, Sebastian, et al.
Published: (2025)
by: Wagner-Carena, Sebastian, et al.
Published: (2025)
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
by: Swierc, Paxson, et al.
Published: (2024)
by: Swierc, Paxson, et al.
Published: (2024)
Spectral Hierarchy of the Cosmic Web
by: Kitaura, Francisco-Shu, et al.
Published: (2026)
by: Kitaura, Francisco-Shu, et al.
Published: (2026)
Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling
by: Hsu, Alan, et al.
Published: (2024)
by: Hsu, Alan, et al.
Published: (2024)
From Dark Matter to Galaxies with Convolutional Neural Networks
by: Yip, Jacky H. T., et al.
Published: (2019)
by: Yip, Jacky H. T., et al.
Published: (2019)
Dark Energy Survey Year 3 results: Simulation-based $w$CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design
by: Thomsen, A., et al.
Published: (2025)
by: Thomsen, A., et al.
Published: (2025)
Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo
by: Mudur, Nayantara, et al.
Published: (2024)
by: Mudur, Nayantara, et al.
Published: (2024)
Neural Approximate Mirror Maps for Constrained Diffusion Models
by: Feng, Berthy T., et al.
Published: (2024)
by: Feng, Berthy T., et al.
Published: (2024)
Bayesian Multi-line Intensity Mapping
by: Cheng, Yun-Ting, et al.
Published: (2024)
by: Cheng, Yun-Ting, et al.
Published: (2024)
Diffusion-based Galaxy Simulations for the Roman High Latitude Survey
by: Scognamiglio, Diana, et al.
Published: (2026)
by: Scognamiglio, Diana, et al.
Published: (2026)
Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth $τ$
by: Khouzani, Farshid Farhadi, et al.
Published: (2025)
by: Khouzani, Farshid Farhadi, et al.
Published: (2025)
Denoising Diffusion Probabilistic Model for realistic and fast generated \textit{Euclid}-like data for weak lensing analysis
by: Scognamiglio, Diana, et al.
Published: (2025)
by: Scognamiglio, Diana, et al.
Published: (2025)
Validation of Spherical Fourier-Bessel power spectrum analysis with lognormal simulations and eBOSS DR16 LRG EZmocks
by: Gebhardt, Henry Grasshorn, et al.
Published: (2023)
by: Gebhardt, Henry Grasshorn, et al.
Published: (2023)
Wide-Angle Effects in the Power Spectrum Multipoles in Next-Generation Redshift Surveys
by: Benabou, Joshua N., et al.
Published: (2024)
by: Benabou, Joshua N., et al.
Published: (2024)
Reducing false positives in strong lens detection through effective augmentation and ensemble learning
by: Rezaei, Samira, et al.
Published: (2025)
by: Rezaei, Samira, et al.
Published: (2025)
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems
by: Barco, Gabriel Missael, et al.
Published: (2024)
by: Barco, Gabriel Missael, et al.
Published: (2024)
Euclid -- The Dark Universe detective
by: Linke, L.
Published: (2024)
by: Linke, L.
Published: (2024)
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift
by: Autenrieth, Maximilian, et al.
Published: (2021)
by: Autenrieth, Maximilian, et al.
Published: (2021)
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds
by: Nguyen, Tri, et al.
Published: (2024)
by: Nguyen, Tri, et al.
Published: (2024)
Learning the Universe: Learning to Optimize Cosmic Initial Conditions with Non-Differentiable Structure Formation Models
by: Doeser, Ludvig, et al.
Published: (2025)
by: Doeser, Ludvig, et al.
Published: (2025)
Wavelet Flow For Extragalactic Foreground Simulations
by: Mebratu, M., et al.
Published: (2025)
by: Mebratu, M., et al.
Published: (2025)
Separating Angular and Radial Modes with Spherical-Fourier Bessel Power Spectrum on All Scales and Implications for Systematics Mitigation
by: Wen, Robin Y., et al.
Published: (2025)
by: Wen, Robin Y., et al.
Published: (2025)
Large-scale Modeling of the Observed Power Spectrum Multipoles
by: Wen, Robin Y., et al.
Published: (2026)
by: Wen, Robin Y., et al.
Published: (2026)
Linear Relativistic Corrections in the Spherical Fourier-Bessel Power Spectrum
by: Wen, Robin Y., et al.
Published: (2024)
by: Wen, Robin Y., et al.
Published: (2024)
Exact Modeling of Power Spectrum Multipole through Spherical Fourier-Bessel Basis
by: Wen, Robin Y., et al.
Published: (2024)
by: Wen, Robin Y., et al.
Published: (2024)
Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
by: Mitra, Ayan, et al.
Published: (2024)
by: Mitra, Ayan, et al.
Published: (2024)
Exploring the Early Universe with Deep Learning
by: de Salis, Emmanuel, et al.
Published: (2025)
by: de Salis, Emmanuel, et al.
Published: (2025)
Sensitivity of Weak Lensing Surveys to Gravitational Waves from Inspiraling Supermassive Black Hole Binaries
by: Adi, Tal, et al.
Published: (2025)
by: Adi, Tal, et al.
Published: (2025)
Provable Probabilistic Imaging using Score-Based Generative Priors
by: Sun, Yu, et al.
Published: (2023)
by: Sun, Yu, et al.
Published: (2023)
Similar Items
-
Mapping Dark-Matter Clusters via Physics-Guided Diffusion Models
by: Royo, Diego, et al.
Published: (2026) -
Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
by: Zhao, Brandon, et al.
Published: (2025) -
Deep Learning for Primordial $B$-mode Extraction
by: Guzman, Eric, et al.
Published: (2025) -
Listening to the Noise: Blind Denoising with Gibbs Diffusion
by: Heurtel-Depeiges, David, et al.
Published: (2024) -
Masked Autoencoder Pretraining on Strong-Lensing Images for Joint Dark-Matter Model Classification and Super-Resolution
by: Prasha, Achmad Ardani, et al.
Published: (2025)