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Bas Peters and Felix J. Herrmann, “Multi-parameter waveform inversion; exploiting the structure of penalty-methods”, SINBAD Spring consortium talks. SINBAD, 2014.
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, “Projection methods and applications for seismic nonlinear inverse problems with multiple constraints”, Geophysics, vol. 84, pp. R251-R269, 2018.
Bas Peters and Felix J. Herrmann, “Generalized Minkowski sets for the regularization of inverse problems”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2019.
Bas Peters and Felix J. Herrmann, “A quadratic-penalty full-space method for waveform inversion”, SINBAD Fall consortium talks. SINBAD, 2015.
Bas Peters, Chen Greif, and Felix J. Herrmann, “An algorithm for solving least-squares problems with a Helmholtz block and multiple right-hand-sides”, in International Conference On Preconditioning Techniques For Scientific And Industrial Applications, 2015.
Bas Peters and Felix J. Herrmann, “Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems”, arXiv e-prints, 2019.
Bas Peters, Tristan van Leeuwen, and Felix J. Herrmann, “Examples from the penalty-method”, SINBAD Fall consortium talks. SINBAD, 2013.
Bas Peters, Chen Greif, and Felix J. Herrmann, “3D WRI”, SINBAD Fall consortium talks. SINBAD, 2015.
Bas Peters and Felix J. Herrmann, “Single- and multi-parameter WRI –- synthetic examples”, SINBAD Fall consortium talks. SINBAD, 2014.
Bas Peters and Felix J. Herrmann, “Wavefield-reconstruction inversion”, in Conference on Applied Inverse Problems, 2015.
Bas Peters, Chen Greif, and Felix J. Herrmann, “Solving WRI’s data-augmented wave equation in 3D”, SINBAD Spring consortium talks. SINBAD, 2015.
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.
Bas Peters, Felix J. Herrmann, and Tristan van Leeuwen, “Wave-equation based inversion with the penalty method: adjoint-state versus wavefield-reconstruction inversion”, in EAGE Annual Conference Proceedings, 2014.
J. Park, Huseyin Tuna Erdinc, Haoyun Li, Richard Rex, Chandramoorthy, N., and Felix J. Herrmann, “Physical Bayesian Inference for Two-Phase Flow Problems”, ML4SEISMIC Partners Meeting. 2024.
J. Park, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Velocity Model Building with Jacobian-Informed Neural Operators”, in ML4SEISMIC Partners Meeting, 2025.
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.
J. Park, Grant Bruer, Huseyin Tuna Erdinc, Arockiasamy, R. Rex, Chandramoorthy, N., and Felix J. Herrmann, “Fisher-Informed Training of Neural Operators for Reliable PDE Inversion”, in ML4SEISMIC Partners Meeting, 2025.
Sebastien Pacteau, “Kronecker product optimization in SPOT”, SINBAD Fall consortium talks. SINBAD, 2010.
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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.
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, “GENERATIVE MODELS FOR UNCERTAINTY QUANTIFICATION OF MEDICAL AND SEISMIC IMAGING”, Georgia Institute of Technology, Atlanta, 2024.
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, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, “Photoacoustic Imaging with Conditional Priors from Normalizing Flows”, in Neural Information Processing Systems (NeurIPS), 2021.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems”, Inverse Problems, vol. 41, 2025.
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”, Journal of Open Source Software, vol. 9, 2024.

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