Biblio

Export 58 results:
[ Author(Desc)] Title Type Year
Filters: Keyword is Imaging  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
L
Mathias Louboutin and Felix J. Herrmann, Abstractions and algorithms for efficient seismic inversion on accelerators, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
S
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, True amplitude depth migration using curvelets, Geophysics, vol. 86, pp. S299-S310, 2021.
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.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, The importance of transfer learning in seismic modeling and imaging, Geophysics, 2019.
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.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach, ML4SEISMIC Partners Meeting. 2021.
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, 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.

Pages