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D
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Probabilistic Joint Recovery Method for CO2 plume monitoring”, ML4SEISMIC Partners Meeting. 2024.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Probabilistic Joint Recovery Method for CO2 Plume Monitoring”. 2025.
E
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “SAGE – Subsurface foundational model with AI-driven Geostatical Extraction”, ML4SEISMIC Partners Meeting. 2024.
G
Abhinav Prakash Gahlot, Rafael Orozco, and Felix J. Herrmann, “Advancing Geological Carbon Storage Monitoring with 3D Digital Shadow Technology”. 2025.
Abhinav Prakash Gahlot and Felix J. Herrmann, “Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling”, ML4SEISMIC Partners Meeting. 2024.
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, Ziyi Yin, and Felix J. Herrmann, “An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring”. 2024.
Abhinav Prakash Gahlot and Felix J. Herrmann, “Enhancing robustness of Digital Shadow for CO 2 Storage Monitoring with Augmented Rock Physics Modeling”. 2025.
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, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Inference of CO2 flow patterns – a feasibility study”, in Neural Information Processing Systems (NeurIPS), 2023.
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.
L
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.
O
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics”, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
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, 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, 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.
Y
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Generative AI for full-waveform variational inference”, Georgia Tech Geophysics Seminar. 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, vol. 89, 2024.
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”, Geophysics, vol. 90, 2025.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: Full-waveform Inference with Subsurface Extensions”, ML4SEISMIC Partners Meeting. 2023.
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.
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Yunlin Zeng, Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 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.