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Author Title Type [ Year(Desc)]
2024
Richard Rex, Yunlin Zeng, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Generative AI for full-waveform variational inference”, Georgia Tech Geophysics Seminar. 2024.
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations”, in International Meeting for Applied Geoscience and Energy, 2024.
S. Zeng, Rafael Orozco, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes”, ML4SEISMIC Partners Meeting. 2024.
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, “InvertibleNetworks.jl: A Julia package for scalable normalizing flows”, Journal of Open Source Software, vol. 9, 2024.
Rafael Orozco, Huseyin Tuna Erdinc, Souza, T., Yunlin Zeng, Ziyi Yin, and Felix J. Herrmann, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural wave-based imaging with amortized uncertainty quantification”, in Inverse Problems: Modelling and Simulation, 2024.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural wave-based imaging with amortized uncertainty quantification”, ICL Seminar. 2024.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in EAGE Annual Conference Proceedings, 2024.
Abhinav Prakash Gahlot and Felix J. Herrmann, “Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling”, ML4SEISMIC Partners Meeting. 2024.
J. Park, Huseyin Tuna Erdinc, Haoyun Li, Richard Rex, Chandramoorthy, N., and Felix J. Herrmann, “Physical Bayesian Inference for Two-Phase Flow Problems”, ML4SEISMIC Partners Meeting. 2024.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Probabilistic Joint Recovery Method for CO2 plume monitoring”, ML4SEISMIC Partners Meeting. 2024.
Haoyun Li, Zeng, S., Abhinav Prakash Gahlot, and Felix J. Herrmann, “Reconstructing Permeability and Saturation in Reservoir Simulation Using Diffusion PDE Models”, ML4SEISMIC Partners Meeting. 2024.
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “SAGE – Subsurface foundational model with AI-driven Geostatical Extraction”, ML4SEISMIC Partners Meeting. 2024.
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”, ML4SEISMIC Partners Meeting. 2024.
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”. 2024.
I. Bhar, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Sensitivity of Horizontal shear waves on Geological Carbon Storage”, ML4SEISMIC Partners Meeting. 2024.
Ziyi Yin, “Solving geophysical inverse problems with scientific machine learning”, Georgia Institute of Technology, Atlanta, 2024.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, “Time-lapse full-waveform permeability inversion: a feasibility study”, The Leading Edge, vol. 43, 2024.
Richard Rex, Avasarala, S., Grady, T., and Felix J. Herrmann, “Tucker Compression for Scalable Operator Learning in Large-Scale Parametric PDE Models”, ML4SEISMIC Partners Meeting. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring”. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 2024.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, “Velocity Continuation for Common Image Gathers with Fourier Neural Operators”, in International Meeting for Applied Geoscience and Energy, 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, 2024.

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