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Carola-Bibiane Schönlieb

◀ ▶ joint publications with Christian Etmann

> Home > Persons > Carola-Bibiane Schönlieb

Publications

2023
[c44]
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  - conf/scalespace/RunkelMSE23
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  - https://dblp.org/rec/conf/scalespace/RunkelMSE23
Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann:
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM 2023: 187-209
2022
[i110]
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  - journals/corr/abs-2207-09786
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Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Non-Uniform Diffusion Models. CoRR abs/2207.09786 (2022)
2021
[j44]
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  - journals/natmi/RobertsDTGYUAEM21
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Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3(3): 199-217 (2021)
[i92]
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  - journals/corr/abs-2102-06496
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Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb:
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. CoRR abs/2102.06496 (2021)
[i91]
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  - journals/corr/abs-2102-11504
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Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Equivariant neural networks for inverse problems. CoRR abs/2102.11504 (2021)
[i90]
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  - journals/corr/abs-2103-01678
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Jan Stanczuk, Christian Etmann, Lisa Maria Kreusser, Carola-Bibiane Schönlieb:
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance). CoRR abs/2103.01678 (2021)
[i84]
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  - journals/corr/abs-2106-02531
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Georgios Batzolis, Marcello Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi, Carola-Bibiane Schönlieb:
CAFLOW: Conditional Autoregressive Flows. CoRR abs/2106.02531 (2021)
[i71]
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  - journals/corr/abs-2111-13606
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Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann:
Conditional Image Generation with Score-Based Diffusion Models. CoRR abs/2111.13606 (2021)
2020
[c25]
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  - conf/mlsp/EtmannKS20
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Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. MLSP 2020: 1-6
[i65]
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  - journals/corr/abs-2005-05220
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Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. CoRR abs/2005.05220 (2020)
[i59]
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  - journals/corr/abs-2006-03364
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Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry:
Structure preserving deep learning. CoRR abs/2006.03364 (2020)
[i50]
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  - journals/corr/abs-2008-06388
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Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb:
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR abs/2008.06388 (2020)
2019
[c22]
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  - conf/icml/EtmannLMS19
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Christian Etmann, Sebastian Lunz, Peter Maass, Carola Schönlieb:
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. ICML 2019: 1823-1832
[i38]
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  - journals/corr/abs-1905-04172
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Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb:
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. CoRR abs/1905.04172 (2019)

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