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Presentation
Philipp A. Witte and Felix J. Herrmann, “Anisotropic RTM applied to field data”, SINBAD Fall consortium talks. SINBAD, 2015.
Ben B. Bougher and Felix J. Herrmann, “Amplitude vs. angle analysis as an unsupervised learning problem”, SINBAD Fall consortium talks. SINBAD, 2016.
Ali Siahkoohi, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Amortized velocity continuation with Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
Bas Peters and Felix J. Herrmann, “Algorithms and Julia software for FWI with multiple constraints”, SINBAD Fall consortium talks. SINBAD, 2017.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “Affordable omnidirectional image volumes extension to 3D”, SINBAD Fall consortium talks. SINBAD, 2015.
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.
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.
Art Petrenko, Tristan van Leeuwen, Diego Oriato, Simon Tilbury, and Felix J. Herrmann, “Accelerating an iterative Helmholtz solver with FPGAs”, SINBAD Spring consortium talks. SINBAD, 2014.
Art Petrenko, Tristan van Leeuwen, Felix J. Herrmann, Diego Oriato, and Simon Tilbury, “Accelerating an iterative Helmholtz solver with FPGAs”, SINBAD Fall consortium talks. SINBAD, 2013.
Bas Peters, Chen Greif, and Felix J. Herrmann, “3D WRI”, SINBAD Fall consortium talks. SINBAD, 2015.
Xiang Li and Felix J. Herrmann, “2D/3D time-stepping for imaging and inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Journal Article
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”, Geophysics, vol. 90, 2025.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, vol. 89, 2024.
Mathias Louboutin and Felix J. Herrmann, “Wave-based inversion at scale on GPUs with randomized trace estimation”, Geophysical Prospecting, 2023.
Ben B. Bougher and Felix J. Herrmann, “Using the scattering transform to predict stratigraphic units from well logs”, CSEG Recorder, vol. 41, pp. 22-25, 2016.
Curt Da Silva and Felix J. Herrmann, “A unified 2D/3D large scale software environment for nonlinear inverse problems”, ACM Transactions on Mathematical Software, 2019.
Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with weak partial-differential-equation constraints”, Geophysics, vol. 83, pp. R629-R647, 2018.
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Total-variation regularization strategies in full-waveform inversion”, SIAM Journal on Imaging Sciences, vol. 11, pp. 376-406, 2018.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, “Time-lapse full-waveform permeability inversion: a feasibility study”, The Leading Edge, vol. 43, 2024.
Mengmeng Yang, Zhilong Fang, Philipp A. Witte, and Felix J. Herrmann, “Time-domain sparsity promoting least-squares reverse time migration with source estimation”, Geophysical Prospecting, vol. 68, pp. 2697-2711, 2020.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Target-oriented imaging using extended image volumes—a low-rank factorization approach”, Geophysical Prospecting, vol. 67, pp. 1312-1328, 2019.
Oscar Lopez, Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Spectral Gap-Based Seismic Survey Design”, IEEE Transactions on Geoscience and Remote Sensing, 2023.
Felix J. Herrmann, Peyman P. Moghaddam, and Christiaan C. Stolk, “Sparsity- and continuity-promoting seismic image recovery with curvelet frames”, Applied and Computational Harmonic Analysis, vol. 24, pp. 150-173, 2008.
Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, and Ozgur Yilmaz, “Sparco: a testing framework for sparse reconstruction”, ACM Transactions on Mathematical Software, vol. 35, pp. 1-16, 2009.

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