InvertibleNetworks.jl: A Julia package for scalable normalizing flows

20 December 2023

Papers citing "InvertibleNetworks.jl: A Julia package for scalable normalizing flows"

9 / 9 papers shown

Title
Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology A. Gahlot Rafael Orozco Felix J. Herrmann 74 0 0 11 Feb 2025
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling A. Gahlot Felix J. Herrmann 78 1 0 11 Feb 2025
An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring A. Gahlot Rafael Orozco Ziyi Yin Felix J. Herrmann 18 0 0 02 Oct 2024
Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data B. Peters Eldad Haber Keegan Lensink 13 0 0 30 Jun 2024
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems Rafael Orozco Ali Siahkoohi M. Louboutin Felix J. Herrmann 16 1 0 08 May 2024
Probabilistic Bayesian optimal experimental design using conditional normalizing flows Rafael Orozco Felix J. Herrmann Peng Chen 28 5 0 28 Feb 2024
Inference of CO2 flow patterns -- a feasibility study A. Gahlot Huseyin Tuna Erdinc Rafael Orozco Ziyi Yin Felix J. Herrmann 16 7 0 01 Nov 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun H. Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 8 136 0 04 Jul 2023
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 59 31 0 11 Jan 2021