An uncertainty-aware Digital Shadow for underground multimodal CO2
storage monitoring

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring

2 October 2024

Felix J. Herrmann

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Papers citing "An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring"

15 / 15 papers shown

Title
Power-scaled Bayesian Inference with Score-based Generative Models Huseyin Tuna Erdinc Yunlin Zeng A. Gahlot Felix J. Herrmann 74 0 0 15 Apr 2025
De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection Ziyi Yin Huseyin Tuna Erdinc A. Gahlot M. Louboutin Felix J. Herrmann 33 10 0 07 Oct 2022
Conditional Image Generation with Score-Based Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann DiffM 75 193 0 26 Nov 2021
BayesFlow: Learning complex stochastic models with invertible neural networks Stefan T. Radev U. Mertens A. Voss Lynton Ardizzone Ullrich Kothe BDL 294 197 0 13 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,718 0 05 Dec 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 203 855 0 04 Nov 2019
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 93 294 0 04 Jul 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 93 45 0 25 May 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 308 3,144 0 09 Jul 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 309 4,817 0 04 Jan 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,198 0 21 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,520 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014