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, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, presented at the 08, 2023.
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, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, presented at the 08, 2023.
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, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, presented at the 08, 2023.
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, “Generative Seismic Kriging with Normalizing Flows”, presented at the 08, 2023.
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, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
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, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, 2023.
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, “Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates”, in Engineering Mechanics Institute Conference, 2023.
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, “Reliable amortized variational inference with physics-based latent distribution correction”, Geophysics, vol. 88, 2023.
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, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
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, “Low-cost uncertainty quantification for large-scale inverse problems”, ML4SEISMIC Partners Meeting. 2022.
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, “Uncertainty-aware time-lapse CO$_2$ monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.
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, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
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, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
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, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
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, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
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, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
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, “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.
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, “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).
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, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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, “Julia for Geoscience”, Transform. 2022.