Can denoising diffusion probabilistic models generate realistic astrophysical fields? - Nayantara Mudur; Douglas P. Finkbeiner (CoRR, 2022)

Simulation-Based Inference for Exoplanet Atmospheric Retrieval: Insights from Winning the Ariel Data Challenge 2023 Using Normalizing Flows. - Mayeul Aubin; Carolina Cuesta-Lázaro; Ethan Tregidga; Javier Viaña; Cecilia Garraffo; Iouli E. Gordon; Mercedes López-Morales; Robert J. Hargreaves; Vladimir Yu. Makhnev; Jeremy J. Drake; Douglas P. Finkbeiner; Phillip Cargile (PKDD/ECML Workshops (5), 2023)

Cosmological Field Emulation and Parameter Inference with Diffusion Models. - Nayantara Mudur; Carolina Cuesta-Lázaro; Douglas P. Finkbeiner (CoRR, 2023)

Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms. - Andrew K. Saydjari; Douglas P. Finkbeiner (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Diffusion-HMC: Parameter Inference with Diffusion Model driven Hamiltonian Monte Carlo. - Nayantara Mudur; Carolina Cuesta-Lázaro; Douglas P. Finkbeiner (CoRR, 2024)