Home /Biblio

Biblio

Export 1017 results:
Author [ Title(Asc)] Type Year
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 
N
Gilles Hennenfent, Ewout van den Berg, Michael P. Friedlander, and Felix J. Herrmann, “New insights into one-norm solvers from the Pareto curve”, Geophysics, vol. 73, pp. A23-A26, 2008.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural wave-based imaging with amortized uncertainty quantification”, in Inverse Problems: Modelling and Simulation, 2024.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural wave-based imaging with amortized uncertainty quantification”, ICL Seminar. 2024.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural network augmented wave-equation simulation”, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
M
D. J. Verschuur, Deli Wang, and Felix J. Herrmann, “Multiterm multiple prediction using separated reflections and diffractions combined with curvelet-based subtraction”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2535-2539.
E. Cirakman, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Multiscale Wavelet Score-based Posterior Approximations for Seismic Inversion”, in ML4SEISMIC Partners Meeting, 2025.
Tristan van Leeuwen and Wim A. Mulder, “Multiscale aspects of waveform tomography”, in SIAMGEO, 2011.
Felix J. Herrmann, “Multiple prediction from incomplete data with the focused curvelet transform”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2505-2600.
Felix J. Herrmann, “Multiple prediction from incomplete data”, in SINBAD 2006, 2006.
Bas Peters and Felix J. Herrmann, “Multi-parameter waveform inversion; exploiting the structure of penalty-methods”, SINBAD Spring consortium talks. SINBAD, 2014.
Tim T.Y. Lin and Felix J. Herrmann, “Multilevel acceleration strategy for the robust estimation of primaries by sparse inversion”, in EAGE Annual Conference Proceedings, 2014.
Tim T.Y. Lin and Felix J. Herrmann, “Multilevel acceleration strategy for REPSI”, SINBAD Spring consortium talks. SINBAD, 2014.
Felix J. Herrmann, “Multifractional splines: application to seismic imaging”, in Proceedings of SPIE Technical Conference on Wavelets: Applications in Signal and Image Processing X, 2003, vol. 5207, pp. 240-258.
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.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Multi-domain target-oriented imaging using extreme-scale matrix factorization”, SINBAD Fall consortium talks. SINBAD, 2017.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
Abhinav Prakash Gahlot, Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
Felix J. Herrmann, Xiang Li, Aleksandr Y. Aravkin, and Tristan van Leeuwen, “A modified, sparsity promoting, Gauss-Newton algorithm for seismic waveform inversion”, in Proc. SPIE, 2011.
Xiang Li, Felix J. Herrmann, Tristan van Leeuwen, and Aleksandr Y. Aravkin, “Modified Gauss-Newton with sparse updates”, in SBGF, 2011.
Xiang Li, Ernie Esser, and Felix J. Herrmann, “Modified Gauss-Newton full-waveform inversion explained–-why sparsity-promoting updates do matter”, Geophysics, vol. 81, pp. R125-R138, 2016.
Xiang Li, Anais Tamalet, Tristan van Leeuwen, and Felix J. Herrmann, “Model-space versus data-space FWI with the acoustic wave equation”, SINBAD Fall consortium talks. SINBAD, 2013.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
Mathias Louboutin, “Modeling for inversion in exploration geophysics”, Georgia Institute of Technology, Atlanta, 2020.
Can Evren Yarman, Rajiv Kumar, and James Rickett, “A model based data driven dictionary learning for seismic data representation”, Geophysical Prospecting, 2017.

Pages