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2024
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems. 2024.
Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, 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.
Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, A Digital Twin for Geological Carbon Storage with Controlled Injectivity, in International Meeting for Applied Geoscience and Energy, 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Digital Twins in the Era of Generative AI: Application to Geological CO2 Storage, HCMF Seminar. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Digital Twins in the era of generative AI - Application to Geological CO2 Storage, ICL Seminar. 2024.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Haoyun Li, DT4GCS –- Digital Twin for Geological CO2 Storage and Control, in Gigatonnes CO2 Storage Workshop, 2024.
Yunlin Zeng, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation, in International Meeting for Applied Geoscience and Energy, 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.
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 EAGE Annual Conference Proceedings, 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.
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.
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.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements, in International Meeting for Applied Geoscience and Energy, 2024.
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction. 2024.

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