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Mathias Louboutin, Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, “Regularizing waveform inversion by projections onto convex sets”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Robust seismic-images amplitude recovery using curvelets”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2225-2229.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Seismic data reconstruction with Generative Adversarial Networks”, in EAGE Annual Conference Proceedings, 2018.
Ali Siahkoohi, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann, and Gabrio Rizzuti, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
Yuxiao Ren, Philipp A. Witte, Ali Siahkoohi, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, “Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows”, in AGU Annual Meeting, 2021, p. U12A-03.
Rayan Saab and Ozgur Yilmaz, “A short note on non-convex compressed sensing”, in SAMPTA technical program, 2009.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, “Signal reconstruction from incomplete and misplaced measurements”, in EAGE Annual Conference Proceedings, 2007.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, and Felix J. Herrmann, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Sparsity and continuity enhancing seismic imaging”, in CSEG Annual Conference Proceedings, 2007.
Shashin Sharan, Rongrong Wang, Tristan van Leeuwen, and Felix J. Herrmann, “Sparsity-promoting joint microseismic source collocation and source-time function estimation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 2574-2579.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, “Sparsity-promoting photoacoustic imaging with source estimation”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
Rayan Saab, Rick Chartrand, and Ozgur Yilmaz, “Stable sparse approximations via nonconvex optimization”, in ICASSP, 2008.
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, Shashin Sharan, Haneet Wason, and Felix J. Herrmann, “Time-jittered marine acquisition–-a rank-minimization approach for 5D source separation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 119-123.
Mi Zhang, Ali Siahkoohi, and Felix J. Herrmann, “Transfer learning in large-scale ocean bottom seismic wavefield reconstruction”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1666-1670.
Ali Siahkoohi, Chinen, M., Denton, T., W. Kleijn, B., and Skoglund, J., “Ultra-Low-Bitrate Speech Coding with Pretrained Transformers”, in Proceedings of INTERSPEECH, 2022.
Ali Siahkoohi, Chinen, M., Denton, T., W. Kleijn, B., and Skoglund, J., “Ultra-Low-Bitrate Speech Coding with Pretrained Transformers”, in Proceedings of INTERSPEECH, 2022.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, and Felix J. Herrmann, “Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates”, in Engineering Mechanics Institute Conference, 2023.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, and Felix J. Herrmann, “Unsupervised data-guided uncertainty analysis in imaging and horizon tracking”, in SIAM Texas-Louisiana, 2020.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, and Felix J. Herrmann, “Wave-equation based inversion with amortized variational Bayesian inference”, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).
Yijun Zhang, Shashin Sharan, Oscar Lopez, and Felix J. Herrmann, “Wavefield recovery with limited-subspace weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2020, pp. 2858-2862.

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