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 | 389 | 2015 |
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 | 261 | 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 | 228 | 2020 |
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 | 142 | 2020 |
Hybrid nanoantennas for directional emission enhancement E Rusak, I Staude, M Decker, J Sautter, AE Miroshnichenko, DA Powell, ... Applied Physics Letters 105 (22), 221109, 2014 | 95 | 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), 1-11, 2016 | 88 | 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 | 82 | 2016 |
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 | 77 | 2019 |
INCREASING THE ROBUSTNESS OF DNNS AGAINST IM-AGE CORRUPTIONS BY PLAYING THE GAME OF NOISE E Rusak, L Schott, R Zimmermann, J Bitterwolf, O Bringmann, M Bethge, ... | 41 | 2020 |
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 | 20 | 2019 |
Adapting imagenet-scale models to complex distribution shifts with self-learning E Rusak, S Schneider, P Gehler, O Bringmann, W Brendel, M Bethge arXiv preprint arXiv:2104.12928, 2021 | 10 | 2021 |
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 | 9 | 2018 |
Benchmarking robustness in object detection: Autonomous driving when winter is coming. arXiv 2019 C Michaelis, B Mitzkus, R Geirhos, E Rusak, O Bringmann, AS Ecker, ... arXiv preprint arXiv:1907.07484, 1907 | 9 | 1907 |
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 | 7 | 2023 |
If your data distribution shifts, use self-learning E Rusak, S Schneider, G Pachitariu, L Eck, PV Gehler, O Bringmann, ... Transactions on Machine Learning Research, 2021 | 7 | 2021 |
Benchmarking Robustness in Object Detection: Autonomous Driving When Winter Is Coming. 2020 C Michaelis, B Mitzkus, R Geirhos, E Rusak, O Bringmann, AS Ecker, ... arXiv preprint arXiv:1907.07484, 1907 | 7 | 1907 |
ACS Nano 2015, 9, 4308–4315 DOI: 10.1021/acsnano. 5b00723 [ACS Full Text ACS Full Text] J Sautter, I Staude, M Decker, E Rusak, DN Neshev, I Brener, YS Kivshar Google Scholar There is no corresponding record for this reference, 0 | 6 | |
ACS Nano 9, 4308 (2015) J Sautter, I Staude, M Decker, E Rusak, DN Neshev, I Brener, YS Kivshar Article, 0 | 6 | |
Tailoring the enhancement of and interference among higher order multipole transitions in molecules with a plasmonic nanoantenna E Rusak, J Straubel, P Gladysz, M Göddel, A Kedziorski, M Kühn, ... arXiv preprint arXiv:1905.08482, 2019 | 4 | 2019 |
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 | 2 | 2022 |