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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, 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, “Deep generative models for solving geophysical inverse problems”, Georgia Institute of Technology, Atlanta, 2022.
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, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Deep Bayesian inference for seismic imaging with tasks”, Geophysics, vol. 87, pp. 281-302, 2022.
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
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.
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.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, “Data normalization strategies for full-waveform inversion”, in EAGE Annual Conference Proceedings, 2017.
Mathias Louboutin and Felix J. Herrmann, “Data driven Gradient Sampling for seismic inversion”, SINBAD Fall consortium talks. SINBAD, 2017.
C
Vishal Kumar and Felix J. Herrmann, “Curvelet-regularized seismic deconvolution”, in CSEG Annual Conference Proceedings, 2008.
Vishal Kumar, “Curvelet-regularized deconvolution”, in SINBAD 2008, 2008.
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.
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.
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, “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.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain least-squares migration with sparseness constraints”, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann, Deli Wang, Gilles Hennenfent, and Peyman P. Moghaddam, “Curvelet-based seismic data processing: a multiscale and nonlinear approach”, Geophysics, vol. 73, pp. A1-A5, 2008.
Rayan Saab, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SINBAD 2008, 2008.
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.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-based non-linear adaptive subtraction with sparseness constraints”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1977-1980.
Felix J. Herrmann, Cody R. Brown, Yogi A. Erlangga, and Peyman P. Moghaddam, “Curvelet-based migration preconditioning and scaling”, Geophysics, vol. 74, pp. A41-A46, 2009.

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