Variational Autoencoders Pursue PCA Directions (by Accident). - Michal Rolínek; Dominik Zietlow; Georg Martius (CVPR, 2019)

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers. - Michal Rolínek; Paul Swoboda; Dominik Zietlow; Anselm Paulus; Vít Musil; Georg Martius (ECCV (28), 2020)

Demystifying Inductive Biases for (Beta-)VAE Based Architectures. - Dominik Zietlow; Michal Rolínek; Georg Martius (ICML, 2021)

Self-tuning serverless task farming using proactive elasticity control. - Stefan Kehrer; Dominik Zietlow; Jochen Scheffold; Wolfgang Blochinger (Clust. Comput., 2021)

Correction to: Self-tuning serverless task farming using proactive elasticity control. - Stefan Kehrer; Dominik Zietlow; Jochen Scheffold; Wolfgang Blochinger (Clust. Comput., 2021)

Demystifying Inductive Biases for β-VAE Based Architectures. - Dominik Zietlow; Michal Rolínek; Georg Martius (CoRR, 2021)

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. - Dominik Zietlow; Michael Lohaus; Guha Balakrishnan; Matthäus Kleindessner; Francesco Locatello; Bernhard Schölkopf; Chris Russell 001 (CVPR, 2022)

InvGAN: Invertible GANs. - Partha Ghosh; Dominik Zietlow; Michael J. Black; Larry S. Davis; Xiaochen Hu (GCPR, 2022)

Embrace the Gap: VAEs Perform Independent Mechanism Analysis. - Patrik Reizinger; Luigi Gresele; Jack Brady; Julius von Kügelgen; Dominik Zietlow; Bernhard Schölkopf; Georg Martius; Wieland Brendel; Michel Besserve (NeurIPS, 2022)

Assaying Out-Of-Distribution Generalization in Transfer Learning. - Florian Wenzel; Andrea Dittadi; Peter V. Gehler; Carl-Johann Simon-Gabriel; Max Horn; Dominik Zietlow; David Kernert; Chris Russell 001; Thomas Brox; Bernt Schiele; Bernhard Schölkopf; Francesco Locatello (NeurIPS, 2022)

ima-vae. - Patrik Reizinger; Luigi Gresele; Jack Brady; Dominik Zietlow; Julius von Kügelgen; Michel Besserve; Georg Martius; Wieland Brendel; Bernhard Schölkopf (Zenodo, 2022)

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning. - Yuejiang Liu; Alexandre Alahi; Chris Russell 001; Max Horn; Dominik Zietlow; Bernhard Schölkopf; Francesco Locatello (CLeaR, 2023)

Unsupervised Open-Vocabulary Object Localization in Videos. - Ke Fan; Zechen Bai; Tianjun Xiao; Dominik Zietlow; Max Horn; Zixu Zhao; Carl-Johann Simon-Gabriel; Mike Zheng Shou; Francesco Locatello; Bernt Schiele; Thomas Brox; Zheng Zhang 001; et al. (ICCV, 2023)

Object-Centric Multiple Object Tracking. - Zixu Zhao; Jiaze Wang; Max Horn; Yizhuo Ding; Tong He 002; Zechen Bai; Dominik Zietlow; Carl-Johann Simon-Gabriel; Bing Shuai; Zhuowen Tu; Thomas Brox; Bernt Schiele; et al. (ICCV, 2023)

Bridging the Gap to Real-World Object-Centric Learning. - Maximilian Seitzer; Max Horn; Andrii Zadaianchuk; Dominik Zietlow; Tianjun Xiao; Carl-Johann Simon-Gabriel; Tong He 002; Zheng Zhang 001; Bernhard Schölkopf; Thomas Brox; Francesco Locatello (ICLR, 2023)

A data augmentation perspective on diffusion models and retrieval. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (CoRR, 2023)

Image retrieval outperforms diffusion models on data augmentation. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (Trans. Mach. Learn. Res., 2023)

An Analysis of the Inner Workings of Variational Autoencoders. - Dominik Zietlow (2023)