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2025
Abhinav Prakash Gahlot, Rafael Orozco, and Felix J. Herrmann, “Advancing Geological Carbon Storage Monitoring with 3D Digital Shadow Technology”, in EAGE Annual Conference Proceedings, 2025.
Abhinav Prakash Gahlot, Rafael Orozco, and Felix J. Herrmann, “Advancing Geological Carbon Storage Monitoring with 3D Digital Shadow Technology”. 2025.
Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “CO2 Enhanced Oil Recovery Through Digital Shadow Modeling”. 2025.
E. Cirakman, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Efficient and scalable posterior surrogate for seismic inversion via wavelet score-based generative models”. 2025.
Abhinav Prakash Gahlot and Felix J. Herrmann, “Enhancing robustness of Digital Shadow for CO 2 Storage Monitoring with Augmented Rock Physics Modeling”. 2025.
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Full-waveform variational inference with common-image gathers”. 2025.
Rafael Orozco, Huseyin Tuna Erdinc, Mathias Louboutin, and Felix J. Herrmann, “Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Huseyin Tuna Erdinc, Yunlin Zeng, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Power-scaled Bayesian inference with score-based generative models”. 2025.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Probabilistic Joint Recovery Method for CO2 Plume Monitoring”. 2025.
J. Park, Grant Bruer, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, and Felix J. Herrmann, “A reduced-order derivative-informed neural operator for subsurface fluid-flow”. 2025.
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Sensitivity-aware rock physics enhanced digital shadow for underground-energy storage monitoring”. 2025.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Time-lapse full-waveform inversion with uncertainty quantification”. 2025.
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”, Geophysics, vol. 90, 2025.
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”, ML4SEISMIC Partners Meeting. 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.
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.
Yunlin Zeng, Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 2024.
S. Zeng, Huseyin Tuna Erdinc, Ziyi Yin, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Enhancing Performance with Uncertainty Estimation in Geological Carbon Storage Leakage Detection from Time-Lapse Seismic Data”, ML4SEISMIC Partners Meeting. 2024.
Richard Rex, Yunlin Zeng, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
Rafael Orozco, “GENERATIVE MODELS FOR UNCERTAINTY QUANTIFICATION OF MEDICAL AND SEISMIC IMAGING”, Georgia Institute of Technology, Atlanta, 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.

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