refs.bib

% Shared with compsep_st where possible; generative-paper-specific keys below.

@article{Mallat2012,
  author = {Mallat, S.},
  title = {Group Invariant Scattering},
  journal = {Communications on Pure and Applied Mathematics},
  volume = {65},
  pages = {1331--1398},
  year = {2012}
}

@article{Bruna2013,
  author = {Bruna, J. and Mallat, S.},
  title = {Invariant Scattering Convolution Networks},
  journal = {IEEE Trans. PAMI},
  volume = {35},
  pages = {1872--1886},
  year = {2013}
}

@article{Allys2020,
  author = {Allys, E. and others},
  title = {New Observables for the {CMB} Polarization},
  journal = {Physical Review D},
  volume = {102},
  pages = {103516},
  year = {2020}
}

@misc{data_and_units,
  author = {{The FLAMINGO Collaboration}},
  title = {Map units, beams, and component conventions for the lensed component-separation patch library},
  howpublished = {\texttt{utils.py} and data-release notes bundled with the FLAMINGO compsep cut-map products},
  year = {2024},
  note = {Stacked frequency maps in $\mu$K$_{\rm CMB}$; component-separated truth maps reserved for validation}
}

@misc{ddpm_corrfg,
  author = {Prabhu, K. and Raghunathan, S. and Anderes, E. B. and Knox, L. E.},
  title = {Learning Correlated Astrophysical Foregrounds with Denoising Diffusion Probabilistic Models},
  year = {2025},
  eprint = {2506.09036},
  archivePrefix = {arXiv},
  primaryClass = {astro-ph.CO}
}

@inproceedings{Ho2020,
  author = {Ho, J. and Jain, A. and Abbeel, P.},
  title = {Denoising Diffusion Probabilistic Models},
  booktitle = {Advances in Neural Information Processing Systems},
  volume = {33},
  pages = {6840--6851},
  year = {2020}
}

@inproceedings{Song2021,
  author = {Song, Y. and Sohl{-}Dickstein, J. and Kingma, D. P. and Kumar, A. and Ermon, S. and Poole, B.},
  title = {Score-Based Generative Modeling through Stochastic Differential Equations},
  booktitle = {International Conference on Learning Representations},
  year = {2021}
}

@misc{Nichol2021,
  author = {Nichol, A. Q. and Dhariwal, P.},
  title = {Improved Denoising Diffusion Probabilistic Models},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning},
  series = {ICML'21},
  year = {2021},
  eprint = {2102.09672},
  archivePrefix = {arXiv}
}

@article{Cheng2020,
  author = {Cheng, S. and M\'enard, B.},
  title = {Weak lensing scattering transform: dark energy and neutrino mass forecasts},
  journal = {Monthly Notices of the Royal Astronomical Society},
  volume = {496},
  pages = {1761},
  year = {2020}
}

@article{Schaye2023,
  author = {Schaye, J. and others},
  title = {The {FLAMINGO} project: cosmological hydrodynamical simulations for large-scale structure and galaxy cluster surveys},
  journal = {Monthly Notices of the Royal Astronomical Society},
  volume = {526},
  pages = {4978},
  year = {2023}
}

@article{Mousset2024,
  author = {Mousset, L. and Allys, E. and Price, M. A. and Aumont, J. and Delouis, J.-M. and Montier, L. and McEwen, J. D.},
  title = {Generative models of astrophysical fields with scattering transforms on the sphere},
  journal = {Astronomy \& Astrophysics},
  year = {2024},
  note = {arXiv:2407.07007}
}