Biblio

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2024
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. 2024.
Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration, in International Meeting for Applied Geoscience and Energy, 2024.
Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, A Digital Twin for Geological Carbon Storage with Controlled Injectivity, in International Meeting for Applied Geoscience and Energy, 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Digital Twins in the Era of Generative AI: Application to Geological CO 2 Storage, HCMF Seminar. 2024.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Haoyun Li, DT4GCS –- Digital Twin for Geological CO2 Storage and Control, in Gigatonnes CO2 Storage Workshop, 2024.
Yunlin Zeng, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation, in International Meeting for Applied Geoscience and Energy, 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Generative AI for full-waveform variational inference, Georgia Tech Geophysics Seminar. 2024.
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations, in International Meeting for Applied Geoscience and Energy, 2024.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, Normalizing Flows for Bayesian Experimental Design in Imaging Applications, in SIAM Conference on Uncertainty Quantification, 2024.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, Time-lapse full-waveform permeability inversion: a feasibility study. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, An Uncertainty-Aware Digital Twin for Geological Carbon Storage, in SIAM Conference on Uncertainty Quantification, 2024.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, Velocity Continuation for Common Image Gathers with Fourier Neural Operators, in International Meeting for Applied Geoscience and Energy, 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: full-Waveform variational Inference via Subsurface Extensions, Geophysics, 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements, in International Meeting for Applied Geoscience and Energy, 2024.
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction. 2024.
2023
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, 3D seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy, 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.
Grant Bruer, Felix J. Herrmann, and Edmond Chow, CO2 reservoir monitoring through Bayesian data assimilation, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, Coupled physics inversion for geological carbon storage monitoring, in International Meeting for Applied Geoscience and Energy, 2023.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection, The Leading Edge, vol. 42, pp. 69-76, 2023.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, Derisking geological storage with simulation-based seismic monitoring design and machine learning, in Carbon, Capture, Utilization, and Storage, 2023.
Felix J. Herrmann, Digital twins in the era of generative AI, The Leading Edge, vol. 42, 2023.

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