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2025
J. Park, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Velocity Model Building with Jacobian-Informed Neural Operators”, in ML4SEISMIC Partners Meeting, 2025.
S. Zeng, Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”, Geophysics, vol. 90, 2025.
2026
Rafael Orozco, Ziyi Yin, Mathias Louboutin, Zeng, S., and Felix J. Herrmann, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, FWI Beyond Structure Interpretation — Benefits and Challenges, SEG workshop. 2026.
Yunlin Zeng, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Bayesian Joint Velocity and Impedance Inversion via Diffusion Models Conditioned on Common Image Gathers”. 2026.
Z. Deng, Abhinav Prakash Gahlot, Zeng, S., and Felix J. Herrmann, “Bridging the Acoustic-Elastic Gap in Seismic Inversion via Robust Summary Statistics”. 2026.
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, 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.
Huseyin Tuna Erdinc, Bhar, I., Zeng, S., Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Foundation models for Full-Waveform Inference w/ Uncertainty Quatification”, in 1st AIHPG - Artificial Intelligence & High-Performance Geophysics Workshop, Natal, Brazil, 2026.
Abhinav Prakash Gahlot and Felix J. Herrmann, “Improving reservoir state prediction in digital shadows using Radon-transformed subsurface common-offset gathers”. 2026.
Mathias Louboutin, Bhar, I., Huseyin Tuna Erdinc, and Felix J. Herrmann, “Learned Multiphysics Inversion with Differentiable Programming & Machine Learning: An open-source path from wave physics to CO₂ digital twins”, in EAGE Workshop: Open for Energy: Open Source, Open Data, Open Models, EAGE, Aberdeen, 2026.
J. Park, Huseyin Tuna Erdinc, Grant Bruer, Richard Rex, Chandramoorthy, N., and Felix J. Herrmann, “Neural Operators with Accurate Jacobian for High-Fidelity Image-Domain Seismic Inversion”. 2026.
I. Bhar, Huseyin Tuna Erdinc, Souza, T., Charles Jones, and Felix J. Herrmann, “OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI”. 2026.
Huseyin Tuna Erdinc, Bhar, I., Rafael Orozco, Souza, T., and Felix J. Herrmann, “SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior”. 2026.
S. Zeng, Yunlin Zeng, Abhinav Prakash Gahlot, Deng, Z., and Felix J. Herrmann, “Self-attention summary networks for subsurface velocity-model building from common-image gathers”. 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.
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.

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