% This file was created by ZeTeM Website % Clemens Arndt @ARTICLE{Arndt2023_d6b14, author = {Clemens Arndt and Alexander Denker and Sören Dittmer and Nick Heilenkötter and Meira Iske and Tobias Kluth and Peter Maaß and Judith Nickel}, title = {Invertible residual networks in the context of regularization theory for linear inverse problems}, journal = {Inverse Problems}, volume = {39}, number = {12}, publisher = {IOPscience}, year = {2023}, doi = {10.1088/1361-6420/ad0660} } @ARTICLE{Arndt2023_c4b93, author = {Clemens Arndt and Alexander Denker and Sören Dittmer and Johannes Leuschner and Judith Nickel and Maximilian Schmidt}, title = {Model-based deep learning approaches to the Helsinki Tomography Challenge 2022}, journal = {Applied Mathematics for Modern Challenges}, volume = {1}, number = {2}, year = {2023}, doi = {10.3934/ammc.2023007} } @ARTICLE{Arndt2022_916b9, author = {Clemens Arndt and Alexander Denker and Judith Nickel and Johannes Leuschner and Maximilian Schmidt and Gael Rigaud}, title = {In Focus - hybrid deep learning approaches to the HDC2021 challenge}, journal = {Inverse Problems and Imaging}, year = {2022}, doi = {10.3934/ipi.2022061} } @ARTICLE{Arndt2022_26aac, author = {Clemens Arndt}, title = {Regularization Theory of the Analytic Deep Prior Approach}, journal = {Inverse Problems}, volume = {38}, number = {11}, year = {2022}, doi = {10.1088/1361-6420/ac9011} }