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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, 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.
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.
Rafael Orozco, Ziyi Yin, Zeng, S., and Felix J. Herrmann, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, in Reduced Order and Surrogate Modeling for Digital Twins, IMSI, Chicago, 2025.
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J. Park, Huseyin Tuna Erdinc, Grant Bruer, Richard Rex, Chandramoorthy, N., and Felix J. Herrmann, “Neural Operators with Accurate Jacobian for High-Fidelity Image-Domain Seismic Inversion”. 2026.
J. Park, Grant Bruer, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, and Felix J. Herrmann, “A reduced-order derivative-informed neural operator for subsurface fluid-flow”, in International Meeting for Applied Geoscience and Energy, 2025.
Bas Peters and Felix J. Herrmann, “Simultaneous estimation of wavefields and medium parameters - reduced-space versus full-space waveform inversion”, in SEG Workshop on The Limit of FWI in Subsurface Parameter Recovery; New Orleans, 2015.
Bas Peters, Tristan van Leeuwen, and Felix J. Herrmann, “Parallel reformulation of the sequential adjoint-state method”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1411-1415.
Bas Peters, Zhilong Fang, Brendan R. Smithyman, and Felix J. Herrmann, “Regularizing waveform inversion by projections onto convex sets –- application to the 2D Chevron 2014 synthetic blind-test dataset”, UBC, TR-EOAS-2015-7, 2015.
Bas Peters and Felix J. Herrmann, “A sparse reduced Hessian approximation for multi-parameter wavefield reconstruction inversion”, in SEG Technical Program Expanded Abstracts, 2014, pp. 1206-1210.
Bas Peters and Felix J. Herrmann, “A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1536-1540.
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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.
Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, and Felix J. Herrmann, “Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, “A dual formulation for time-domain wavefield reconstruction inversion”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1480-1485.
S
Rayan Saab, Deli Wang, Ozgur Yilmaz, and Felix J. Herrmann, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
Reza Shahidi and Felix J. Herrmann, “Curvelet-domain matched filtering with frequency-domain regularization”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “High resolution fast microseismic source collocation and source time function estimation”, in SEG Technical Program Expanded Abstracts, 2017, pp. 2778-2783.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Shashin Sharan, Rongrong Wang, Tristan van Leeuwen, and Felix J. Herrmann, “Sparsity-promoting joint microseismic source collocation and source-time function estimation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 2574-2579.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Ali Siahkoohi, Dirk J. Verschuur, and Felix J. Herrmann, “Surface-related multiple elimination with deep learning”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Ali Siahkoohi and Felix J. Herrmann, “Learning by example: fast reliability-aware seismic imaging with normalizing flows”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.

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