Invertible neural networks and normalizing flows for image reconstruction

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Bremen, Universität Bremen, Dissertation, 2024

Keyword: Neuronales Netz
Maschinelles Lernen
Inverses Problem
Bildverarbeitung
Deep Learning

Event: Veröffentlichung

(where): Bremen

(who): Staats- und Universitätsbibliothek Bremen

(when): 2024

Creator: Denker, Alexander

Contributor: Maaß, Peter
Kreusser, Lisa Maria

DOI: 10.26092/elib/2921

URN: urn:nbn:de:gbv:46-elib78391

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:44 AM CEST

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Associated

Denker, Alexander
Maaß, Peter
Kreusser, Lisa Maria
Staats- und Universitätsbibliothek Bremen

Time of origin

2024

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Invertible neural networks and normalizing flows for image reconstruction

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Other Objects (12)

Non-invertible symmetries along 4d RG flows

Semi-supervised invertible neural operators for Bayesian inverse problems

Uncertainty Quantification in Biophotonic Imaging using Invertible Neural Networks

Dynamical Reconstruction of Multi-Dimensional Image Sequences Using Optical Flows

Updating structural wind turbine blade models via invertible neural networks

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Inference of astrophysical parameters with a conditional invertible neural network

Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces

Invertible Carnot Groups

Compressed Sensing Image Reconstruction Based on Convolutional Neural Network

Invertible update-then-predict integer lifting wavelet for lossless image compression

Process parameter prediction for fused deposition modeling using invertible neural networks

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Semi-supervised invertible neural operators for Bayesian inverse problems

Uncertainty Quantification in Biophotonic Imaging using Invertible Neural Networks

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Updating structural wind turbine blade models via invertible neural networks

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Autoencoder-extended Conditional Invertible Neural Networks for Unfolding Signal Traces

Invertible Carnot Groups

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Invertible update-then-predict integer lifting wavelet for lossless image compression

Process parameter prediction for fused deposition modeling using invertible neural networks

Non-invertible symmetries along 4d RG flows

Semi-supervised invertible neural operators for Bayesian inverse problems

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Compressed Sensing Image Reconstruction Based on Convolutional Neural Network

Invertible update-then-predict integer lifting wavelet for lossless image compression

Process parameter prediction for fused deposition modeling using invertible neural networks

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