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Mengmeng Yang, Zhilong Fang, Philipp A. Witte, and Felix J. Herrmann, “Time-domain sparsity promoting least-squares reverse time migration with source estimation”, Geophysical Prospecting, vol. 68, pp. 2697-2711, 2020.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of subsurface extended image volumes with power iterations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4470-4474.
Mengmeng Yang, Ning Tu, and Felix J. Herrmann, “Fast imaging with surface-related multiples: – shallow water multiples”, SINBAD Fall consortium talks. SINBAD, 2015.
Mengmeng Yang, Philipp A. Witte, Zhilong Fang, and Felix J. Herrmann, “Time-domain sparsity-promoting least-squares migration with source estimation”, SINBAD Fall consortium talks. SINBAD, 2016.
Carson Yarham, Felix J. Herrmann, and Daniel Trad, “Ground roll removal using non-separable wavelet transforms”, in CSEG Annual Conference Proceedings, 2004.
Carson Yarham and Felix J. Herrmann, “Bayesian ground-roll seperation by curvelet-domain sparsity promotion”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2576-2580.
Carson Yarham, “Nonlinear surface wave prediction and separation”, in EAGE 2007, 2007.
Carson Yarham, Gilles Hennenfent, and Felix J. Herrmann, “Curvelet applications in surface wave removal”, in EAGE Workshop on Curvelets, contourlets, seislets, … in seismic data processing - where are we and where are we going?, 2007.
Carson Yarham, Urs Boeniger, and Felix J. Herrmann, “Curvelet-based ground roll removal”, in SEG Technical Program Expanded Abstracts, 2006, vol. 25, pp. 2777-2782.
Carson Yarham, Daniel Trad, and Felix J. Herrmann, “Curvelet processing and imaging: adaptive ground roll removal”, in CSEG Annual Conference Proceedings, 2004.
Carson Yarham, “Seismic ground-roll separation using sparsity promoting $\ell_1$ minimization”, The University of British Columbia, Vancouver, 2008.
Carson Yarham, “Bayesian signal separation applied to ground-roll removal”, in SINBAD 2008, 2008.
Can Evren Yarman, Rajiv Kumar, and James Rickett, “A model based data driven dictionary learning for seismic data representation”, Geophysical Prospecting, 2017.
Ozgur Yilmaz, “Analog-to-digital conversion in compressive sampling”, SINBAD Fall consortium talks. SINBAD, 2014.
Ozgur Yilmaz, “Sparse approximations and compressive sensing: an overview”, SINBAD Fall consortium talks. SINBAD, 2010.
Ozgur Yilmaz, “Compressed sensing with prior information”, SINBAD Fall consortium talks. SINBAD, 2011.
Ozgur Yilmaz, “Stable sparse expansions via non-convex optimization”, in SINBAD 2008, 2008.
Ozgur Yilmaz, “Weighted methods in sparse recovery”, SINBAD Fall consortium talks. SINBAD, 2012.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Simulation-based framework for geological carbon storage monitoring”, ML4SEISMIC Partners Meeting. 2022.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, “End-to-end permeability inversion from prestack time-lapse seismic data: a case study on Compass model”, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model”, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”. 2024.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection”, The Leading Edge, vol. 42, pp. 69-76, 2023.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, 2024.
Ziyi Yin, Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Uncertainty-aware time-lapse CO$_2$ monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.

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