Home /Biblio

Biblio

Export 26 results:
[ Author(Desc)] Title Type Year
Filters: Keyword is CIG  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
Z. Deng, Abhinav Prakash Gahlot, Zeng, S., and Felix J. Herrmann, “Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in ML4SEISMIC Partners Meeting, 2025.
G
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Underground Energy Operations”, in Landmark Innovation Forum & Expo 2026, LIFE2026, Orlando, FL, 2026.
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.
Abhinav Prakash Gahlot, Haoyun Li, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Context- and uncertainty-aware Digital Twin for the Optimization of Underground Storage Operations”, in SIAM Geosciences Webinar Series, 2026.
Abhinav Prakash Gahlot, Bhar, I., and Felix J. Herrmann, “Mitigating Rock-Physics Model Misspecification in Digital Shadows via Amortized Bayesian Inference”, in ML4SEISMIC Partners Meeting, 2025.
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Decision Making and Control with Digital Twins for Underground Energy Storage”, in SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN, 2026.
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Geological Carbon Storage”, in Net-Zero Emissions: Critical Minerals, Hydrogen, Nuclear, Geothermal, Wind, CCUS, and AI, SEG Workshop, 2026.
L
Mathias Louboutin and Felix J. Herrmann, “Wave-based inversion at scale on GPUs with randomized trace estimation”, Geophysical Prospecting, 2023.
O
Rafael Orozco, Ziyi Yin, Zeng, S., and Felix J. Herrmann, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, in Reduced Order and Surrogate Modeling for Digital Twins, IMSI, Chicago, 2025.
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, Yunlin Zeng, and Felix J. Herrmann, “Machine learning-enabled velocity model building with uncertainty quantification”. 2024.
Rafael Orozco, “GENERATIVE MODELS FOR UNCERTAINTY QUANTIFICATION OF MEDICAL AND SEISMIC IMAGING”, Georgia Institute of Technology, Atlanta, 2024.
R
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.
Y
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, “WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements”, in International Meeting for Applied Geoscience and Energy, 2024.
Ziyi Yin, “Solving geophysical inverse problems with scientific machine learning”, Georgia Institute of Technology, Atlanta, 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, vol. 89, 2024.
Z
S. Zeng, Rafael Orozco, Yunlin Zeng, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Attention Please: Getting the Most from CIGs with Learned Summary Statistics”, in International Meeting for Applied Geoscience and Energy, 2025.
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Full-waveform variational inference with common-image gathers”, in International Meeting for Applied Geoscience and Energy, 2025.
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Background-Conditioned Diffusion Inversion for Seismic Velocity Models”, in ML4SEISMIC Partners Meeting, 2025.
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, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Bayesian Joint Velocity and Impedance Inversion via Diffusion Models Conditioned on Common Image Gathers”. 2026.
S. Zeng, Abhinav Prakash Gahlot, Yunlin Zeng, Deng, Z., and Felix J. Herrmann, “Self-attention summary networks for velocity model building from common-image gathers”, in ML4SEISMIC Partners Meeting, 2025.
Yunlin Zeng, Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 2024.

Pages