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Abhinav Prakash Gahlot, Bhar, I., and Felix J. Herrmann, “Mitigating Rock-Physics Model Misspecification in Digital Shadows via Amortized Bayesian Inference”, in ML4SEISMIC Partners Meeting, 2025.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
Xiang Li, Felix J. Herrmann, Tristan van Leeuwen, and Aleksandr Y. Aravkin, “Modified Gauss-Newton with sparse updates”, in SBGF, 2011.
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.
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.
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.
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.
Felix J. Herrmann, “Multiple prediction from incomplete data”, in SINBAD 2006, 2006.
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.
Tristan van Leeuwen and Wim A. Mulder, “Multiscale aspects of waveform tomography”, in SIAMGEO, 2011.
E. Cirakman, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Multiscale Wavelet Score-based Posterior Approximations for Seismic Inversion”, in ML4SEISMIC Partners Meeting, 2025.
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.
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.
Gilles Hennenfent, “New insights into one-norm solvers from the Pareto curve”, in SINBAD, 2008.
Felix Oghenekohwo and Felix J. Herrmann, “A new take on compressive time-lapse seismic acquisition, imaging and inversion”, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
Tristan van Leeuwen, Felix J. Herrmann, and Bas Peters, “A new take on FWI: wavefield reconstruction inversion”, in EAGE Annual Conference Proceedings, 2014.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, “The Next Step: Interoperable Domain-Specific Programming”, in SIAM Conference on Computational Science and Engineering, 2023.
Felix J. Herrmann and Gilles Hennenfent, “Non-linear data continuation with redundant frames”, in CSEG Annual Conference Proceedings, 2005.
Felix J. Herrmann and Peyman P. Moghaddam, “Non-linear regularization in seismic imaging”, in CSEG Annual Conference Proceedings, 2005.
Aleksandr Y. Aravkin, James V. Burke, Felix J. Herrmann, and Tristan van Leeuwen, “A nonlinear sparsity promoting formulation and algorithm for full waveform inversion”, in EAGE Annual Conference Proceedings, 2011.
Carson Yarham, “Nonlinear surface wave prediction and separation”, in EAGE 2007, 2007.
Gilles Hennenfent, “The Nonuniform Fast Discrete Curvelet Transform (NFDCT)”, in SINBAD 2006, 2006.
Aleksandr Y. Aravkin, Tristan van Leeuwen, Kenneth Bube, and Felix J. Herrmann, “On non-uniqueness of the Student's t-formulation for linear inverse problems”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-5.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in EAGE Annual Conference Proceedings, 2024.

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