# Biblio

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2022
, Abstractions and algorithms for efficient seismic inversion on accelerators, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
, Accelerating innovation with software abstractions for scalable computational geophysics, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, 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).
, 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.
, 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.
, Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, 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.
, A simulation-free seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, Ultra-Low-Bitrate Speech Coding with Pretrained Transformers, in Proceedings of INTERSPEECH, 2022.
, Velocity continuation with Fourier neural operators for accelerated uncertainty quantification, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
, 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
, 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.
, 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.
, Fast and reliability-aware seismic imaging with conditional normalizing flows, in Intelligent illumination of the Earth, 2021.
, Learning by example: fast reliability-aware seismic imaging with normalizing flows, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
, Low-cost time-lapse seismic imaging of CCS with the joint recovery model, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
, ML@scale using randomized linear algebra, in Microsoft, 2021.
, Photoacoustic Imaging with Conditional Priors from Normalizing Flows, in Neural Information Processing Systems (NeurIPS), 2021.
, A practical workflow for land seismic wavefield recovery with weighted matrix factorization, in SEG Technical Program Expanded Abstracts, 2021, pp. 145-149.
, Preconditioned training of normalizing flows for variational inference in inverse problems, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.