Papers

• AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity (2026)
  Bhavya Gupta et al.
  5.44
• StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow (2026)
  Gurjeet Jagwani et al.
  1.83
• Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling (2026)
  Tianyue Yang et al.
  1.83
• Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation (2026)
  Bin Xia et al.
  1.83
• Cosmo-FOLD: Fast generation and upscaling of field-level cosmological maps with overlap latent diffusion (2026)
  Satvik Mishra et al.
  1.61
• Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models (2025)
  Joan Font-Quer Roset et al.
  1.50
• Fisher-Bingham-like normalizing flows on the sphere (2025)
  Thorsten Gl\"usenkamp
  1.44
• FlowLensing: Simulating Gravitational Lensing with Flow Matching (2025)
  Hamees Sayed et al.
  1.44
• Capability of using the normalizing flows for extraction rare gamma events in the TAIGA experiment (2025)
  A.P. Kryukov et al.
  1.44
• StrCGAN: A Generative Framework for Stellar Image Restoration (2025)
  Shantanusinh Parmar et al.
  1.39
• Category-based Galaxy Image Generation via Diffusion Models (2025)
  Xingzhong Fan et al.
  1.22
• Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach (2025)
  Francesco Pio Ramunno et al.
  1.06
• Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs) (2025)
  M. Garcia-Fernandez
  0.94
• Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks (2025)
  Minia Manteiga et al.
  0.94
• Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models (2024)
  Lars Doorenbos et al.
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• Estimating Probability Densities with Transformer and Denoising Diffusion (2024)
  Henry W. Leung et al.
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• Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of Concept (2024)
  Gr\'egoire Francisco et al.
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• Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions (2024)
  Alessio Spagnoletti et al.
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