Biblio

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2022
Mathias Louboutin and Felix J. Herrmann, Abstractions and algorithms for efficient seismic inversion on accelerators, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, Accelerating innovation with software abstractions for scalable computational geophysics, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
Mathias Louboutin and Felix J. Herrmann, Enabling wave-based inversion on GPUs with randomized trace estimation, in EAGE Annual Conference Proceedings, 2022, p. Seismic Wave Modelling and Least Square Migration 2 session.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 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.
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.
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.
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.
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.
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.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, ML@scale using randomized linear algebra, in Microsoft, 2021.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Photoacoustic Imaging with Conditional Priors from Normalizing Flows, in Neural Information Processing Systems (NeurIPS), 2021.
Yijun Zhang and Felix J. Herrmann, A practical workflow for land seismic wavefield recovery with weighted matrix factorization, in SEG Technical Program Expanded Abstracts, 2021, pp. 145-149.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Preconditioned training of normalizing flows for variational inference in inverse problems, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.

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