| Benchmarking robustness in object detection: Autonomous driving when winter is coming C Michaelis, B Mitzkus, R Geirhos, E Rusak, O Bringmann, AS Ecker, ... arXiv preprint arXiv:1907.07484, 2019 | 515 | 2019 |
| Improving robustness against common corruptions by covariate shift adaptation S Schneider, E Rusak, L Eck, O Bringmann, W Brendel, M Bethge Advances in neural information processing systems 33, 11539-11551, 2020 | 502 | 2020 |
| Active tuning of all-dielectric metasurfaces J Sautter, I Staude, M Decker, E Rusak, DN Neshev, I Brener, YS Kivshar ACS nano 9 (4), 4308-4315, 2015 | 449 | 2015 |
| A simple way to make neural networks robust against diverse image corruptions E Rusak, L Schott, RS Zimmermann, J Bitterwolf, O Bringmann, M Bethge, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 269* | 2020 |
| Manipulation of Magnetic Dipole Emission from Eu3+ with Mie-Resonant Dielectric Metasurfaces A Vaskin, S Mashhadi, M Steinert, KE Chong, D Keene, S Nanz, A Abass, ... Nano Letters 19 (2), 1015-1022, 2019 | 110 | 2019 |
| Hybrid nanoantennas for directional emission enhancement E Rusak, I Staude, M Decker, J Sautter, AE Miroshnichenko, DA Powell, ... Applied Physics Letters 105 (22), 2014 | 101 | 2014 |
| Manipulation of photoluminescence of two-dimensional MoSe2 by gold nanoantennas H Chen, J Yang, E Rusak, J Straubel, R Guo, YW Myint, J Pei, M Decker, ... Scientific reports 6 (1), 22296, 2016 | 96 | 2016 |
| Multipolar coupling in hybrid metal–dielectric metasurfaces R Guo, E Rusak, I Staude, J Dominguez, M Decker, C Rockstuhl, I Brener, ... Acs Photonics 3 (3), 349-353, 2016 | 95 | 2016 |
| If your data distribution shifts, use self-learning E Rusak, S Schneider, G Pachitariu, L Eck, P Gehler, O Bringmann, ... Transactions on Machine Learning Research (TMLR), 2022 | 35* | 2022 |
| Robust deep learning object recognition models rely on low frequency information in natural images Z Li, J Ortega Caro, E Rusak, W Brendel, M Bethge, F Anselmi, AB Patel, ... PLOS Computational Biology 19 (3), e1010932, 2023 | 31 | 2023 |
| Enhancement of and interference among higher order multipole transitions in molecules near a plasmonic nanoantenna E Rusak, J Straubel, P Gładysz, M Göddel, A Kędziorski, M Kühn, ... Nature communications 10 (1), 5775, 2019 | 31 | 2019 |
| Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? P Mayilvahanan, T Wiedemer, E Rusak, M Bethge, W Brendel International Conference on Learning Representations (ICLR), 2024 | 16 | 2024 |
| Formation of nanocrystalline graphene on germanium R Yekani, E Rusak, A Riaz, A Felten, B Breitung, S Dehm, D Perera, ... Nanoscale 10 (25), 12156-12162, 2018 | 13 | 2018 |
| Effective pruning of web-scale datasets based on complexity of concept clusters A Abbas, E Rusak, K Tirumala, W Brendel, K Chaudhuri, AS Morcos International Conference on Learning Representations (ICLR), 2024 | 12 | 2024 |
| Imagenet-d: A new challenging robustness dataset inspired by domain adaptation E Rusak, S Schneider, PV Gehler, O Bringmann, W Brendel, M Bethge ICML 2022 Shift Happens Workshop, 2022 | 10 | 2022 |
| Content suppresses style: dimensionality collapse in contrastive learning E Rusak, P Reizinger, RS Zimmermann, O Bringmann, W Brendel NeurIPS 2022 Workshop: Self-Supervised Learning-Theory and Practice 3, 2022 | 2 | 2022 |
| ACS Nano 2015, 9, 4308–4315 J Sautter, I Staude, M Decker, E Rusak, DN Neshev, I Brener, YS Kivshar DOI, 0 | 2 | |
| Hybrid metal-dielectric nanoantennas for directional emission enhancement E Rusak, R Guo, I Staude, M Decker, J Sautter, A Miroshnichenko, ... CLEO: QELS_Fundamental Science, FTu2E. 2, 2015 | 1 | 2015 |
| Liquid crystal tuning of all-dielectric metasurfaces J Sautter, I Staude, M Decker, E Rusak, I Brener, DN Neshev, YS Kivshar CLEO: QELS_Fundamental Science, FTu1C. 2, 2015 | 1 | 2015 |
| In Search of Forgotten Domain Generalization P Mayilvahanan, RS Zimmermann, T Wiedemer, E Rusak, A Juhos, ... arXiv preprint arXiv:2410.08258, 2024 | | 2024 |
