Biblio

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2023
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification, in SPIE Medical Imaging Conference, 2023.
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, Inference of CO2 flow patterns – a feasibility study, in Neural Information Processing Systems (NeurIPS), 2023.
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, InvertibleNetworks.jl: A Julia package for scalable normalizing flows. 2023.
Abhinav Prakash Gahlot, Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring subsurface CO2 plumes with learned sequential Bayesian inference, ML4SEISMIC Partners Meeting. 2023.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: full-Waveform variational Inference via Subsurface Extensions. 2023.