% This file was created by ZeTeM Website % Jens Behrmann @INBOOK{Behrmann2022_da7fc, author = {Jens Behrmann and Maximilian Schmidt and Jannik Wildner and Peter Maaß and Sebastian Schmale}, chapter = {Purity Assessment of Pellets Using Deep Learning}, title = {German Success Stories in Industrial Mathematics}, editor = {H.G. Bock and KH. Küfer and Peter Maaß and A. Milde and V. Schulz}, series = {Mathematics in Industry}, pages = {29-34}, publisher = {Springer Verlag}, year = {2022}, doi = {10.1007/978-3-030-81455-7_6} } @ARTICLE{Janssen2022_1cd15, author = {Charlotte Janßen and Tobias Boskamp and Lena Hauberg-Lotte and Jens Behrmann and Sören Deininger and Mark Kriegsmann and Katharina Kriegsmann and Georg Steinbuß and Hauke Winter and Thomas Muley and Rita Casadonte and Jörg Kriegsmann and Peter Maaß}, title = {Robust subtyping of non-small cell lung cancer whole sections through MALDI mass spectrometry imaging}, journal = {Proteomics - Clinical Applications}, annote = {PRCA2208}, year = {2022}, doi = {10.1002/prca.202100068} } @ARTICLE{Behrmann2018_05f85, author = {Jens Behrmann and Christian Etmann and Tobias Boskamp and Rita Casadonte and Jörg Kriegsmann and Peter Maaß}, title = {Deep Learning for Tumor Classification in Imaging Mass Spectrometry}, journal = {Bioinformatics}, volume = {34}, number = {7}, pages = {1215-1223}, publisher = {Oxford University Press}, year = {2018}, doi = {10.1093/bioinformatics/btx724} } @PHDTHESIS{Behrmann2019_73462, author = {Jens Behrmann}, title = {Principles of Neural Network Architecture Design: Invertibility and Domain Knowledge}, school = {Universität Bremen}, year = {2019} } @CONFERENCE{Denker2020_760c8, author = {Alexander Denker and Maximilian Schmidt and Johannes Leuschner and Peter Maaß and Jens Behrmann}, title = {Conditional Normalizing Flows for Low-Dose Computed Tomography Image Reconstruction}, booktitle = {ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models, 18.07-18.07.2020, Wien, Österreich}, year = {2020} } @CONFERENCE{Tramer2020_824b3, author = {Florian Tramer and Jens Behrmann and Nicholas Carlini and Nicolas Papernot and Jörn-Henrik Jacobsen}, title = {Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations}, booktitle = {International Conference on Machine Learning (ICML), 12.07 - 18.07.2020, Wien, Österreich}, year = {2020} } @CONFERENCE{Behrmann2019_e34aa, author = {Jens Behrmann and Paul Vicol and Kuan-Chieh Wang and Roger Grosse and Jörn-Henrik Jacobsen}, title = { On the Invertibility of Invertible Neural Networks}, booktitle = { NeurIPS workshop on Machine Learning with Guarantees, 2019}, year = {2019} } @CONFERENCE{Jacobsen2019_9705d, author = {Jörn-Henrik Jacobsen and Jens Behrmann and Richard Zemel and Matthias Bethge}, title = {Excessive Invariance Causes Adversarial Vulnerability}, booktitle = {International Conference on Learning Representations (ICLR), 2019}, year = {2019} } @CONFERENCE{Jacobsen2019_f89bb, author = {Jörn-Henrik Jacobsen and Jens Behrmann and Nicholas Carlini and Florian Tramer and Nicolas Papernot}, title = {Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness}, booktitle = {SafeML Workshop, ICLR, 2019}, year = {2019} } @CONFERENCE{Behrmann2019_27b34, author = {Jens Behrmann and Will Grathwohl and Ricky T.Q. Chen and David Duvenaud and Jörn-Henrik Jacobsen}, title = {Invertible Residual Networks}, booktitle = {International Conference on Machine Learning (ICML)}, volume = {97}, pages = {573-582}, year = {2019} } @CONFERENCE{Chen2019_fa82a, author = {Ricky T.Q. Chen and Jens Behrmann and David Duvenaud and Jörn-Henrik Jacobsen}, title = {Residual Flows for Invertible Generative Modeling}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, pages = {9916--9926}, year = {2019} } @CONFERENCE{Boskamp2016_1be92, author = {Tobias Boskamp and Delf Lachmund and Janina Oetjen and Yovany Hernandez-Cordero and Jens Behrmann and Jan Hendrik Kobarg and Rita Casadonte and Jörg Kriegsmann and Peter Maaß}, title = {Visualizing MALDI TOF datasets of FFPE tissue samples for the purpose of quality assessment and comparison}, booktitle = {OurCon IV - 2016, 17.10.-21.10.2016, Ustron, Polen}, year = {2016} }