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2017
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Multi-domain target-oriented imaging using extreme-scale matrix factorization”, SINBAD Fall consortium talks. SINBAD, 2017.
2018
Ajinkya Kadu, Rajiv Kumar, and Tristan van Leeuwen, “Full-waveform inversion with Mumford-Shah regularization”, in SEG Technical Program Expanded Abstracts, 2018, pp. 1258-1262.
Rajiv Kumar, Marie Graff-Kray, Tristan van Leeuwen, and Felix J. Herrmann, “Low-rank representation of extended image volumes––applications to imaging and velocity continuation”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4418-4422.
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.
2019
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, and Gerard J. Gorman, “Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration”, Geoscientific Model Development, 2019.
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.
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.
2021
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.
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, 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.

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