Biblio

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Author Title Type [ Year(Asc)]
Filters: Keyword is Uncertainty quantification  [Clear All Filters]
2023
Felix J. Herrmann, Act normal that's crazy enough — an overview of seismic inversion with normalizing flows and surrogate modeling, Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar. 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.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Amortized normalizing flows for transcranial ultrasound with uncertainty quantification, in Medical Imaging with Deep Learning, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Fast neural FWI with amortized uncertainty quantification, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Generative Seismic Kriging with Normalizing Flows, in International Meeting for Applied Geoscience and Energy, 2023.
Ziyi Yin, Introduction to Seismic Laboratory for Imaging and Modeling, CSE Student Recruiting Event. 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.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Reliable amortized variational inference with physics-based latent distribution correction, Geophysics, vol. 88, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Towards generative seismic kriging with normalizing flows, ML4SEISMIC Partners Meeting. 2023.
Rafael Orozco, Mathias Louboutin, Peng Chen, and Felix J. Herrmann, Uncertainty quantification so what? Leveraging probabilistic seismic inversion for experimental design, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: full-Waveform variational Inference via Subsurface Extensions. 2023.
2022
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, Accelerating innovation with software abstractions for scalable computational geophysics, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Adjoint operators as summary functions in amortized Bayesian inference frameworks, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Amortized velocity continuation with Fourier neural operators, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Deep Bayesian inference for seismic imaging with tasks, Geophysics, vol. 87, pp. 281-302, 2022.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Low-cost uncertainty quantification for large-scale inverse problems, ML4SEISMIC Partners Meeting. 2022.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, Monitoring with sequential Bayesian inference, ML4SEISMIC Partners Meeting. 2022.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Normalizing flows for regularization of 3D seismic inverse problems, ML4SEISMIC Partners Meeting. 2022.

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