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Celeste: Variational inference for a generative model of astronomical images., , , , , , , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2095-2103. JMLR.org, (2015)A Gaussian Process Model of Quasar Spectral Energy Distributions., , , , , , , and . NIPS, page 2494-2502. (2015)Stochastic Cubic Regularization for Fast Nonconvex Optimization., , , , and . NeurIPS, page 2904-2913. (2018)Information Constraints on Auto-Encoding Variational Bayes., , , and . NeurIPS, page 6117-6128. (2018)Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4312-4320. PMLR, (2024)Diffusion Models for Probabilistic Deconvolution of Galaxy Images., , , and . CoRR, (2023)Variational Inference for Deblending Crowded Starfields., , and . CoRR, (2021)Stochastic Cubic Regularization for Fast Nonconvex Optimization., , , , and . CoRR, (2017)Normalizing Flows for Knockoff-free Controlled Feature Selection., , and . CoRR, (2021)A deep generative model for gene expression profiles from single-cell RNA sequencing., , , and . CoRR, (2017)