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Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 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, 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, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, GT SEG Student Chapter. 2020.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural network augmented wave-equation simulation”, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
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.
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, and Felix J. Herrmann, “Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows”, Georgia Institute of Technology, TR-CSE-2020-2, 2020.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Multifidelity conditional normalizing flows for physics-guided Bayesian inference”, ML4SEISMIC Partners Meeting. 2021.
Ali Siahkoohi, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Amortized velocity continuation with Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators”, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Shashin Sharan, Yijun Zhang, Oscar Lopez, and Felix J. Herrmann, “Large scale high-frequency wavefield reconstruction with recursively weighted matrix factorizations”, TR-CSE-2020-4, 2020.
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.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Source collocation using the method of Linearized Bregman”, SINBAD Fall consortium talks. SINBAD, 2015.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “High resolution microseismic source collocation”, SINBAD Fall consortium talks. SINBAD, 2016.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Fast sparsity-promoting microseismic source estimation”, Geophysical Journal International, vol. 216, pp. 164-181, 2019.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Tracking the spatial-temporal evolution of fractures by microseismic source collocation”, SINBAD Fall consortium talks. SINBAD, 2017.
Shashin Sharan, “Large scale high-frequency seismic wavefield reconstruction, acquisition via rank minimization and sparsity-promoting source estimation”, Georgia Institute of Technology, Atlanta, 2020.
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.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “High resolution fast microseismic source collocation and source time function estimation”, in SEG Technical Program Expanded Abstracts, 2017, pp. 2778-2783.
Reza Shahidi, Gang Tang, Jianwei Ma, and Felix J. Herrmann, “Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery”, Geophysical Prospecting, vol. 61, pp. 973-997, 2013.
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.
Mark Schmidt, “Hybrid stochastic-deterministic methods”, SINBAD Fall consortium talks. SINBAD, 2010.
Challa S. Sastry, “Norm-one recovery from irregular sampled data”, in SINBAD 2007, 2007.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, “Recovery from unstructured data”, in SINBAD 2006, 2006.

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