Siahkoohi, Ali

6 publications

TMLR 2024 Boomerang: Local Sampling on Image Manifolds Using Diffusion Models Lorenzo Luzi, Paul M Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard Baraniuk

ICLR 2024 Self-Consuming Generative Models Go MAD Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard Baraniuk

NeurIPS 2023 Conditional Score-Based Diffusion Models for Bayesian Inference in Infinite Dimensions Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop

ICML 2023 Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data Ali Siahkoohi, Rudy Morel, Maarten V. De Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura

NeurIPSW 2021 Photoacoustic Imaging with Conditional Priors from Normalizing Flows Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann

NeurIPSW 2019 Learned Imaging with Constraints and Uncertainty Quantification Felix J. Herrmann, Ali Siahkoohi, Gabrio Rizzuti