A generative latent diffusion framework jointly infers photometric-redshift PDFs and reconstructs rest-frame spectra from photometric data after pre-training a spectral autoencoder on millions of spectra.
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Joint probabilistic inference of galaxy redshifts and rest-frame spectra from photometric fluxes with latent diffusion
A generative latent diffusion framework jointly infers photometric-redshift PDFs and reconstructs rest-frame spectra from photometric data after pre-training a spectral autoencoder on millions of spectra.