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Felix J. Herrmann, “Curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 3643-3649.
Felix J. Herrmann, Peyman P. Moghaddam, and Deli Wang, “Curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27.
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.
Felix J. Herrmann and D. J. Verschuur, “Curvelet-domain multiple elimination with sparseness constraints”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1333-1336.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain preconditioned 'wave-equation' depth-migration with sparseness and illumination constraints”, in EAGE Annual Conference Proceedings, 2004.
Vishal Kumar, “Curvelet-regularized deconvolution”, in SINBAD 2008, 2008.
Vishal Kumar and Felix J. Herrmann, “Curvelet-regularized seismic deconvolution”, in CSEG Annual Conference Proceedings, 2008.
D
Mathias Louboutin and Felix J. Herrmann, “Data driven Gradient Sampling for seismic inversion”, SINBAD Fall consortium talks. SINBAD, 2017.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, “Data normalization strategies for full-waveform inversion”, in EAGE Annual Conference Proceedings, 2017.
Tim T.Y. Lin and Felix J. Herrmann, “Dealing with acquisition gaps in Robust EPSI without interpolation using wavefield auto-convolution”, SINBAD Fall consortium talks. SINBAD, 2014.
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.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Decision Making and Control with Digital Twins for Underground Energy Storage”, in SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN, 2026.
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Deep Bayesian inference for seismic imaging with tasks”, Geophysics, vol. 87, pp. 281-302, 2022.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
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, “Deep generative models for solving geophysical inverse problems”, Georgia Institute of Technology, Atlanta, 2022.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, in EAGE Annual Conference Proceedings, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, GT SEG Student Chapter. 2020.
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.
Felix J. Herrmann, “(De)-Focused wavefield reconstructions”, in SINBAD 2008, 2008.
Rongrong Wang and Felix J. Herrmann, “A denoising formulation of full-waveform inversion”, in SEG Technical Program Expanded Abstracts, 2017, pp. 1594-1598.
Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Denoising high-amplitude cross-flow noise using curvelet-based stable principle component pursuit”, in EAGE Annual Conference Proceedings, 2017.
Rongrong Wang and Felix J. Herrmann, “Denoising the wavefield inversion problem through source blending and penalty method”, SINBAD Fall consortium talks. SINBAD, 2014.

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