Yu, N.; Liu, G.; Dundar, A.; Tao, A.; Catanzaro, B.; Davis, L.; Fritz, M.: Dual Contrastive Loss and Attention for GANs. In: ICCV 2021, S. 6711 - 6722. IEEE/CVF International Conference on Computer Vision, Virtual Event, 11. Oktober 2021 - 17. Oktober 2021. IEEE, Piscataway, NJ (2021)

Yu, N.; Skripniuk, V.; Abdelnabi, S.; Fritz, M.: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. In: ICCV 2021, S. 14428 - 14437. IEEE/CVF International Conference on Computer Vision, Virtual Event, 11. Oktober 2021 - 17. Oktober 2021. IEEE, Piscataway, NJ (2021)

Zandieh, A.; Han, I.; Avron, H.; Shoham, N.; Kim, C.; Shin, J.: Scaling Neural Tangent Kernels via Sketching and Random Features. In: Advances in Neural Information Processing Systems 34, S. 1062 - 1073 (Hg. Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P. S.; Wortman Vaughan, J.). 35th Conference on Neural Information Processing Systems, Virtual, 06. Dezember 2021 - 14. Dezember 2021. Curran Assoicates, Inc. (2021)

Zannettou, S.: "I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twitter. In: Proceedings of the Fifteenth International Conference on Web and Social Media, S. 865 - 876. 15th International Conference on Web and Social Media, Atlanta, GA, USA, 07. Juni 2021 - 10. Juni 2021. AAAI (2021)

Zhang, X.; Xin, J.; Yates, A.; Lin, J.: Bag-of-Words Baselines for Semantic Code Search. In: The 1st Workshop on Natural Language Processing for Programming, S. 88 - 94 (Hg. Lachmy, R.; Yao, Z.; Durrett, G.; Gligoric, M.; Li, J. J. et al.). 1st Workshop on Natural Language Processing for Programming, Bangkog, Thailand (Online), 06. August 2021. ACL, Stroudsbourg, PA (2021)

Zhang, X.; Yates, A.; Lin, J.: Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers. In: Advances in Information Retrieval, S. 150 - 163 (Hg. Hiemstra, D.; Moens, M.-F.; Mothe, J.; Perego, R.; Potthast, M. et al.). 43rd European Conference on IR Research, Lucca, Italy (Online Event), 28. März 2021 - 01. April 2021. Springer, Berlin (2021)

Zhang, Z.; Liniger, A.; Dai, D.; Yu, F.; Van Gool, L.: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. In: ICCV 2021, S. 15202 - 15212. IEEE/CVF International Conference on Computer Vision, Virtual Event, 11. Oktober 2021 - 17. Oktober 2021. IEEE, Piscataway, NJ (2021)

Zheng, Q.; Singh, G.; Seidel, H.-P.: Neural Relightable Participating Media Rendering. In: Advances in Neural Information Processing Systems 34, S. 15203 - 15215 (Hg. Ranzato, M.; Beygelzimer, A.; Liang, P. S.; Vaughan, J. W.; Dauphin, Y.). 35th Conference on Neural Information Processing Systems, Virtual, 06. Dezember 2021 - 14. Dezember 2021. Curran Associates, Inc. (2021)

Zhong, Z.; Ghobadi, M.; Khaddaj, A.; Leach, J.; Xia, Y.; Zhang, Y.: ARROW: Restoration-Aware Traffic Engineering. In: SIGCOMM '21, S. 560 - 579 (Hg. Kuipers, F.; Caesar, M.). ACM SIGCOMM Conference, Virtual Event, USA, 23. August 2021 - 27. August 2021. ACM, New York, NY (2021)

Zhou, Y.; Habermann, M.; Habibie, I.; Tewari, A.; Theobalt, C.; Xu, F.: Monocular Real-time Full Body Capture with Inter-part Correlations Computer Vision and Pattern Recognition. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, S. 4809 - 4820. 34th IEEE Conference on Computer Vision and Pattern Recognition, Virtual Conference, 19. Juni 2021 - 25. Juni 2021. IEEE, Piscataway, NJ (2021)

Ghosh, A.; Cheema, N.; Oguz, C.; Theobalt, C.; Slusallek, P.: Text-Based Motion Synthesis with a Hierarchical Two-Stream RNN. ACM SIGGRAPH 2021 , Virtual Event, USA (2021)

Bhattacharyya, A.: Long-term future prediction under uncertainty and multi-modality. Dissertation, 210 S., Universität des Saarlandes, Saarbrücken (2021)

Chaudhury, B. R.: Finding Fair and Efficient Allocations. Dissertation, 173 S., Universität des Saarlandes, Saarbrücken (2021)

Durai, D. A.: Novel graph based algorithms fortranscriptome sequence analysis. Dissertation, 143 S., Universität des Saarlandes, Saarbrücken (2021)

Gad-Elrab, M. H.: Explainable Methods for Knowledge Graph Refinement and Exploration via Symbolic Reasoning. Dissertation, 176 S., Universität des Saarlandes, Saarbrücken (2021)

Ghazimatin, A.: Enhancing Explainability and Scrutability of Recommender Systems. Dissertation, 136 S., Universität des Saarlandes, Saarbrücken (2021)

Habermann, M.: Real-time human performance capture and synthesis. Dissertation, 153 S., Universität des Saarlandes, Saarbrücken (2021)

Lichtblau, F.: From the Edge to the Core: Towards Informed Vantage Point Selection for Internet Measurement Studies. Dissertation, XVII, 122 S., Universität des Saarlandes, Saarbrücken (2021)

Mandros, P.: Discovering robust dependencies from data. Dissertation, 194 S., Universität des Saarlandes, Saarbrücken (2021)

Marx, A.: Information-Theoretic Causal Discovery. Dissertation, 195 S., Universität des Saarlandes, Saarbrücken (2021)