Andrea Aspri, Otmar Scherzer Analysis of generalized iteratively regularized Landweber iterations driven by dataAcknowledgement1 Introduction2 Generalized iteratively regularized Landweber iteration3 Numerical experiments4 ConclusionDemetrio Labate, Heng Zhao Integration of model- and learning-based methods in image restorationAcknowledgement1 Introduction2 Deep unrolling3 Plug-and-play networks4 NNs with model-driven constraints5 Numerical experiments and comparisonGesa Sarnighausen, Anne Wald, Alexander Meaney Dynamic computerized tomography using inexact models and motion estimationAcknowledgement1 Introduction2 Methods3 Numerical results4 ConclusionJonas Adler, Ozan Öktem Deep Bayesian inversionAcknowledgement1 Introduction2 Deep Bayesian inversion3 Numerical experiments4 Implementation details5 Related work6 Discussion and outlook7 Final conclusionsHwan Goh, Teemu Sahlström, Tanja Tarvainen Utilizing uncertainty quantification variational autoencoders in inverse problems with applications in photoacoustic tomographyAcknowledgement1 Introduction2 Inverse problems in a Bayesian framework3 Variational autoencoders4 Solving Bayesian inverse problems utilizing variational autoencoders5 Utilizing UQ-VAE in photoacoustic tomography6 Discussion and conclusionsDerick Nganyu Tanyu, Jianfeng Ning, Andreas Hauptmann, Bangti Jin, Peter Maass Electrical impedance tomography: a fair comparative study on deep learning and analytic-based approachesAcknowledgement1 Introduction and motivation2 Electrical impedance tomography3 Deep learning-based methods4 Numerical experiments and results5 ConclusionLeon Frischauf, Otmar Scherzer, Cong Shi Classification with neural networks with quadratic decision functionsAcknowledgement1 Introduction2 Background on neural network functions3 Binary classification4 Binary classification5 Conclusion