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Low-memory stochastic backpropagation with multi-channel randomized trace estimation., , , and . CoRR, (2021)Boomerang: Local sampling on image manifolds using diffusion models., , , , and . CoRR, (2022)Conditional score-based diffusion models for Bayesian inference in infinite dimensions., , , , and . CoRR, (2023)Neural network augmented wave-equation simulation., , and . CoRR, (2019)Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows., , , and . CoRR, (2020)Learned multiphysics inversion with differentiable programming and machine learning., , , , , , , , , and . CoRR, (2023)Accelerating innovation with software abstractions for scalable computational geophysics., , , , , , and . CoRR, (2022)Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators., , , and . CoRR, (2022)A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification., , and . CoRR, (2020)Preconditioned training of normalizing flows for variational inference in inverse problems., , , , and . CoRR, (2021)