Dominik Zietlow

According to our database, Dominik Zietlow authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Analysis of the Inner Workings of Variational Autoencoders.

Dominik Zietlow

PhD thesis, 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, Yanwei Fu, Tong He

CoRR, 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

CoRR, 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, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Object-Centric Multiple Object Tracking.

Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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, Yanwei Fu, Tong He

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning.

Yuejiang Liu, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

ima-vae.

Patrik Reizinger, Luigi Gresele, Jack Brady, Dominik Zietlow, Julius von Kügelgen, Michel Besserve, Georg Martius, Wieland Brendel, Bernhard Schölkopf

Dataset, June, 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, Thomas Brox, Bernt Schiele, Bernhard Schölkopf, Francesco Locatello

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

InvGAN: Invertible GANs.

Partha Ghosh, Dominik Zietlow, Michael J. Black, Larry S. Davis, Xiaochen Hu

Proceedings of the Pattern Recognition, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Demystifying Inductive Biases for β-VAE Based Architectures.

Dominik Zietlow, Michal Rolínek, Georg Martius

CoRR, 2021

Correction to: Self-tuning serverless task farming using proactive elasticity control.

Stefan Kehrer, Dominik Zietlow, Jochen Scheffold, Wolfgang Blochinger

Clust. Comput., 2021

Self-tuning serverless task farming using proactive elasticity control.

Stefan Kehrer, Dominik Zietlow, Jochen Scheffold, Wolfgang Blochinger

Clust. Comput., 2021

Demystifying Inductive Biases for (Beta-)VAE Based Architectures.

Dominik Zietlow, Michal Rolínek, Georg Martius

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers.

Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Variational Autoencoders Pursue PCA Directions (by Accident).

Michal Rolínek, Dominik Zietlow, Georg Martius

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019