Biblio

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Filters: Keyword is conditional normalizing flows and Author is Felix J. Herrmann  [Clear All Filters]
Conference
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.
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.
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.
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.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, and Felix J. Herrmann, Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates, in Engineering Mechanics Institute Conference, 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.