AI-assisted super-resolution cosmological simulations V: Cosmology-aware super-resolution
astro-ph.CO
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/rainwoodman/gaepsi2
Sources
- Wasserstein GAN
- The DESI Experiment Part I: Science,Targeting, and Survey Design
- Machine Learning and Cosmology
- Separate Universe Super-Resolution Emulator
- Generative Adversarial Networks
- Improved Training of Wasserstein GANs
- Denoising Diffusion Probabilistic Models
- Analyzing and Improving the Image Quality of StyleGAN
- Adam: A Method for Stochastic Optimization
- Euclid Definition Study Report
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- Conditional Generative Adversarial Nets
- Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Emulation of cosmological mass maps with conditional generative adversarial networks
- Deep Unsupervised Learning using Nonequilibrium Thermodynamics
- Validating Bayesian Inference Algorithms with Simulation-Based Calibration
- Deep Learning for Image Super-resolution: A Survey
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