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Christian Etmann

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on behalf of the AIX-COVNET collaboration

Non-Uniform Diffusion Models

Jul 20, 2022
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

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Conditional Image Generation with Score-Based Diffusion Models

Nov 26, 2021
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann

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CAFLOW: Conditional Autoregressive Flows

Jun 04, 2021
Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola Bibiane Schönlieb

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Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

Mar 05, 2021
Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb

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Equivariant neural networks for inverse problems

Feb 23, 2021
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry

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Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization

Feb 12, 2021
Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb

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Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review

Sep 01, 2020
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb

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iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling

Jun 12, 2020
Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb

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