Biblio
“Assessing the need for repeatability in acquisition of time-lapse data”, in CSEG Annual Conference Proceedings, 2013.
, “Randomized sampling without repetition in time-lapse seismic surveys”, SINBAD Spring consortium talks. SINBAD, 2014.
, “Use what`s in common: time-lapse FWI with distributed Compressive Sensing”, SINBAD Fall consortium talks. SINBAD, 2014.
, “Using common information in compressive time-lapse full-waveform inversion”, in EAGE Annual Conference Proceedings, 2015.
, “Highly repeatable time-lapse seismic with distributed Compressive Sensing–-mitigating effects of calibration errors”, The Leading Edge, vol. 36, pp. 688-694, 2017.
, “Estimating 4D differences in time-lapse using randomized sampling techniques”, SINBAD Fall consortium talks. SINBAD, 2013.
, “Randomized sampling without repetition in time-lapse surveys”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4848-4852.
, “Randomized subsampling in time-lapse surveys and recovery techniques”, SINBAD Fall consortium talks. SINBAD, 2014.
, “Re-establishment of gradient in frequency-domain elastic waveform inversion”, in CSEG Annual Conference Proceedings, 2012.
, “Frequency-domain elastic waveform inversion using weighting factors related to source-deconvolved residuals”, in EAGE Annual Conference Proceedings, 2012.
, , “Generative Seismic Kriging with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
, “Uncertainty quantification so what? Leveraging probabilistic seismic inversion for experimental design”, ML4SEISMIC Partners Meeting. 2023.
, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “Variational inference for artifact removal of adjoint solutions in photoacoustic problems”, ML4SEISMIC Partners Meeting. 2021.
, “Normalizing flows for regularization of 3D seismic inverse problems”, ML4SEISMIC Partners Meeting. 2022.
, “Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics”, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
, “Towards generative seismic kriging with normalizing flows”, ML4SEISMIC Partners Meeting. 2023.
, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
, “BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.
, “Fast neural FWI with amortized uncertainty quantification”, in International Meeting for Applied Geoscience and Energy, 2023.
, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
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