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2015
Bas Peters, Brendan R. Smithyman, Mathias Louboutin, and Felix J. Herrmann, “Regularizing waveform inversion by projections onto intersections of convex sets”, SINBAD Fall consortium talks. SINBAD, 2015.
Ernie Esser, Rongrong Wang, Tim T.Y. Lin, and Felix J. Herrmann, “Resolving scaling ambiguities with the $\ell_1/\ell_2$ norm in a blind deconvolution problem with feedback”, in IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015, pp. 365-368.
Ernie Esser, Rongrong Wang, Tim T.Y. Lin, and Felix J. Herrmann, “Resolving scaling ambiguities with the L1/L2 norm in a blind deconvolution problem with feedback”, SINBAD Fall consortium talks. SINBAD, 2015.
2017
Mathias Louboutin, Michael Lange, Navjot Kukreja, Fabio Luporini, Felix J. Herrmann, and Gerard Gorman, “Raising the abstraction to separate concerns: enabling different physics for geophysical exploration”, in SIAM Conference on Computational Science and Engineering, 2017.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, “Reconstruction of S-waves from low-cost randomized acquisition”, SINBAD Fall consortium talks. SINBAD, 2017.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, “Reconstruction of S-waves from low-cost randomized and simultaneous acquisition by joint sparse inversion”, in SEG Technical Program Expanded Abstracts, 2017, pp. 2533-2538.
2018
Mengmeng Yang, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “Removing density effects in LS-RTM with a low-rank matched filter”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4251-4255.
2021
Mathias Louboutin and Felix J. Herrmann, “Randomized linear algebra for inversion”, ML4SEISMIC Partners Meeting. 2021.
2022
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.
2023
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics”, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Reliable amortized variational inference with physics-based latent distribution correction”, Geophysics, vol. 88, 2023.
2024
Haoyun Li, Zeng, S., Abhinav Prakash Gahlot, and Felix J. Herrmann, “Reconstructing Permeability and Saturation in Reservoir Simulation Using Diffusion PDE Models”, ML4SEISMIC Partners Meeting. 2024.
2025
S. Zeng, Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Reconstructing reservoir states from multimodal data via score-based generative models”, in ML4SEISMIC Partners Meeting, 2025.
J. Park, Grant Bruer, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, and Felix J. Herrmann, “A reduced-order derivative-informed neural operator for subsurface fluid-flow”, in International Meeting for Applied Geoscience and Energy, 2025.
Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Risk-Aware Injectivity Control for Energy Storage”, in ML4SEISMIC Partners Meeting, 2025.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Grant Bruer, “Robust Digital Twin for Geological Carbon Storage”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.

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