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Training Invertible Neural Networks as Autoencoders.

T. Nguyen, L. Ardizzone, and U. Köthe. GCPR, volume 11824 of Lecture Notes in Computer Science, page 442-455. Springer, (2019)

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Conditional Invertible Generative Models for Supervised Problems.L. Ardizzone. University of Heidelberg, Germany, (2023)Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging.J. Nölke, T. Adler, J. Gröhl, T. Kirchner, L. Ardizzone, C. Rother, U. Köthe, and L. Maier-Hein. CoRR, (2020)Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.L. Ardizzone, J. Kruse, C. Lüth, N. Bracher, C. Rother, and U. Köthe. CoRR, (2021)Analyzing Inverse Problems with Invertible Neural Networks.L. Ardizzone, J. Kruse, C. Rother, and U. Köthe. ICLR (Poster), OpenReview.net, (2019)Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.T. Adler, L. Ardizzone, A. Vemuri, L. Ayala, J. Gröhl, T. Kirchner, S. Wirkert, J. Kruse, C. Rother, U. Köthe and 1 other author(s). CoRR, (2019)Application-driven Validation of Posteriors in Inverse Problems.T. Adler, J. Nölke, A. Reinke, M. Tizabi, S. Gruber, D. Trofimova, L. Ardizzone, P. Jaeger, F. Büttner, U. Köthe and 1 other author(s). CoRR, (2023)Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.L. Ardizzone, J. Kruse, C. Lüth, N. Bracher, C. Rother, and U. Köthe. GCPR, volume 12544 of Lecture Notes in Computer Science, page 373-387. Springer, (2020)Generative Classifiers as a Basis for Trustworthy Image Classification.R. Mackowiak, L. Ardizzone, U. Köthe, and C. Rother. CVPR, page 2971-2981. Computer Vision Foundation / IEEE, (2021)Out of Distribution Detection for Intra-operative Functional Imaging.T. Adler, L. Ayala, L. Ardizzone, H. Kenngott, A. Vemuri, B. Müller-Stich, C. Rother, U. Köthe, and L. Maier-Hein. UNSURE/CLIP@MICCAI, volume 11840 of Lecture Notes in Computer Science, page 75-82. Springer, (2019)BayesFlow: Learning complex stochastic models with invertible neural networks.S. Radev, U. Mertens, A. Voss, L. Ardizzone, and U. Köthe. CoRR, (2020)

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Training Invertible Neural Networks as Autoencoders.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Training Invertible Neural Networks as Autoencoders.

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Training Invertible Neural Networks as Autoencoders.