Biblio

Export 951 results:
Author Title Type [ Year(Asc)]
2022
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Normalizing flows for regularization of 3D seismic inverse problems, ML4SEISMIC Partners Meeting. 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.
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.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, and Felix J. Herrmann, A simulation-free seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, Oscar Lopez, and Felix J. Herrmann, Time-lapse seismic survey design by maximizing the spectral gap, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Chinen, M., Denton, T., W. Kleijn, B., and Skoglund, J., Ultra-Low-Bitrate Speech Coding with Pretrained Transformers, in Proceedings of INTERSPEECH, 2022.
Felix J. Herrmann, Uncertainty-aware Digital Twin for Monitoring Geological Carbon Storage, Direct Air Capture Center Meeting. 2022.
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.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Velocity continuation with Fourier neural operators for accelerated uncertainty quantification, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, and Felix J. Herrmann, Wave-equation based inversion with amortized variational Bayesian inference, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).
2021
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.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
Thomas J. Grady II, Rishi Khan, and Felix J. Herrmann, Distributed Fourier Neural Operators, ML4SEISMIC Partners Meeting. 2021.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion, Geophysics, vol. 86, p. 1ND-Z3, 2021.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion, ML4SEISMIC Partners Meeting. 2021.
Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, and Alison Malcolm, Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Fast and reliability-aware seismic imaging with conditional normalizing flows, in Intelligent illumination of the Earth, 2021.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model, ML4SEISMIC Partners Meeting. 2021.
Yijun Zhang and Felix J. Herrmann, Improved seismic survey design by maximizing the spectral gap with global optimization, ML4SEISMIC Partners Meeting. 2021.
Felix J. Herrmann, Introduction inaugural ML4Seismic Partners Meeting, ML4SEISMIC Partners Meeting. 2021.
Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, InvertibleNetworks.jl - Memory efficient deep learning in Julia, in JuliaCon, 2021.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, Learned wave-based imaging - variational inference at scale, in Delft, 2021.
Ali Siahkoohi and Felix J. Herrmann, Learning by example: fast reliability-aware seismic imaging with normalizing flows, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, and Philipp A. Witte, Low-cost time-lapse seismic imaging of CCS with the joint recovery model, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, and Felix J. Herrmann, Low-memory stochastic backpropagation with multi-channel randomized trace estimation, TR-CSE-2021-1, 2021.

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