Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. - Claudio Michaelis; Benjamin Mitzkus; Robert Geirhos; Evgenia Rusak; Oliver Bringmann 001; Alexander S. Ecker; Matthias Bethge; Wieland Brendel (CoRR, 2019)

A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. - Evgenia Rusak; Lukas Schott; Roland S. Zimmermann; Julian Bitterwolf; Oliver Bringmann 001; Matthias Bethge; Wieland Brendel (ECCV (3), 2020)

Improving robustness against common corruptions by covariate shift adaptation. - Steffen Schneider 001; Evgenia Rusak; Luisa Eck; Oliver Bringmann 001; Wieland Brendel; Matthias Bethge (NeurIPS, 2020)

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. - Evgenia Rusak; Lukas Schott; Roland S. Zimmermann; Julian Bitterwolf; Oliver Bringmann 001; Matthias Bethge; Wieland Brendel (CoRR, 2020)

Adapting ImageNet-scale models to complex distribution shifts with self-learning. - Evgenia Rusak; Steffen Schneider 001; Peter V. Gehler; Oliver Bringmann 001; Wieland Brendel; Matthias Bethge (CoRR, 2021)

If your data distribution shifts, use self-learning. - Evgenia Rusak; Steffen Schneider 001; George Pachitariu; Luisa Eck; Peter Vincent Gehler; Oliver Bringmann 001; Wieland Brendel; Matthias Bethge (Trans. Mach. Learn. Res., 2022)

Robust deep learning object recognition models rely on low frequency information in natural images. - Zhe Li 002; Josue Ortega Caro; Evgenia Rusak; Wieland Brendel; Matthias Bethge; Fabio Anselmi; Ankit B. Patel; Andreas S. Tolias; Xaq Pitkow (PLoS Comput. Biol., 2023)

Effective pruning of web-scale datasets based on complexity of concept clusters. - Amro Abbas; Evgenia Rusak; Kushal Tirumala; Wieland Brendel; Kamalika Chaudhuri; Ari S. Morcos (ICLR, 2024)

Does CLIP's generalization performance mainly stem from high train-test similarity? - Prasanna Mayilvahanan; Thaddäus Wiedemer; Evgenia Rusak; Matthias Bethge; Wieland Brendel (ICLR, 2024)

Focal Depth Estimation: A Calibration-Free, Subject- and Daytime Invariant Approach. - Benedikt W. Hosp; Björn Severitt; Rajat Agarwala; Evgenia Rusak; Yannick Sauer; Siegfried Wahl (CoRR, 2024)

InfoNCE: Identifying the Gap Between Theory and Practice. - Evgenia Rusak; Patrik Reizinger; Attila Juhos; Oliver Bringmann 001; Roland S. Zimmermann; Wieland Brendel (AISTATS, 2025)

In Search of Forgotten Domain Generalization. - Prasanna Mayilvahanan; Roland S. Zimmermann; Thaddäus Wiedemer; Evgenia Rusak; Attila Juhos; Matthias Bethge; Wieland Brendel (ICLR, 2025)