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2023
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “3D seismic survey design by maximizing the spectral gap”. 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”. 2023.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, “Coupled physics inversion for geological carbon storage monitoring”. 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Enhancing CO2 Leakage Detectability via Dataset Augmentation”. 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Generative Seismic Kriging with Normalizing Flows”. 2023.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Olav Møyner, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, “Integrated differentiable programming for end-to-end multiphysics inversion and machine learning”. 2023.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”. 2023.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”. 2023.
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Optimized time-lapse acquisition design via spectral gap ratio minimization”. 2023.
Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”. 2023.
Mathias Louboutin and Felix J. Herrmann, “Wave-based inversion at scale on GPUs with randomized trace estimation”. 2023.
2022
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”. 2022.