Home /Biblio

Biblio

Export 828 results:
Author [ Title(Desc)] Type Year
Filters: Author is Felix J. Herrmann  [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 
J
Felix J. Herrmann and Peyman P. Moghaddam, “Just diagonalize: a curvelet-based approach to seismic amplitude recovery”, in EAGE Workshop on Curvelets, contourlets, seislets, … in seismic data processing - where are we and where are we going?, 2007.
K
Rafael Lago and Felix J. Herrmann, “Krylov solvers in frequency domain FWI”, SINBAD Fall consortium talks. SINBAD, 2013.
L
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.
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia”, Geophysics, vol. 84, pp. F57-F71, 2019.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “A large-scale framework in Julia for fast prototyping of seismic inversion algorithms”, SINBAD Fall consortium talks. SINBAD, 2017.
Richard Rex, Thomas J. Grady II, Rishi Khan, Ziyi Yin, and Felix J. Herrmann, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
Curt Da Silva and Felix J. Herrmann, “Large-scale seismic data interpolation in a parallel computing environment”, SINBAD Fall consortium talks. SINBAD, 2014.
Philipp A. Witte and Felix J. Herrmann, “A large-scale time-domain modeling and inversion workflow in Julia”, SINBAD Fall consortium talks. SINBAD, 2016.
Philipp A. Witte, Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “A large-scale time-domain seismic modeling and inversion workflow in Julia”, UBC, TR-EOAS-2017-1, 2017.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Large-scale workflows for wave-equation based inversion in Julia”, in SIAM Conference on Computational Science and Engineering, 2017.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kurjeka, Jan Hueckelheim, Gerard Gorman, Philipp A. Witte, and Felix J. Herrmann, “Latest developments in Devito”, SINBAD Fall consortium talks. SINBAD, 2017.
Felix J. Herrmann, “Latest developments in marine (4D) acquisition”, SINBAD Spring consortium talks. SINBAD, 2014.
Felix J. Herrmann, “Latest developments in randomized (4D) acquisition”, SINBAD Fall consortium talks. SINBAD, 2014.
Haneet Wason, Rajiv Kumar, Felix Oghenekohwo, and Felix J. Herrmann, “Latest developments in randomized marine acquisition and source separation”, SINBAD Spring consortium talks. SINBAD, 2015.
Felix J. Herrmann, “Latest developments in seismic-data recovery”, SINBAD Spring consortium talks. SINBAD, 2012.
Felix J. Herrmann, “Latest developments on the Chevron GOM and other datasets”, SINBAD Spring consortium talks. SINBAD, 2013.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Mathias Louboutin, Kartha, Y., Rafael Orozco, and Felix J. Herrmann, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, in Neural Information Processing Systems (NeurIPS), 2019.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 2019.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
Mathias Louboutin, Bhar, I., Huseyin Tuna Erdinc, and Felix J. Herrmann, “Learned Multiphysics Inversion with Differentiable Programming & Machine Learning: An open-source path from wave physics to CO₂ digital twins”, in EAGE Workshop: Open for Energy: Open Source, Open Data, Open Models, EAGE, Aberdeen, 2026.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.

Pages