| Dense connectomic reconstruction in layer 4 of the somatosensory cortex A Motta, M Berning, KM Boergens, B Staffler, M Beining, S Loomba, ... Science 366 (6469), eaay3134, 2019 | 255 | 2019 |
| Meta-learning of neural architectures for few-shot learning T Elsken, B Staffler, JH Metzen, F Hutter Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 157 | 2020 |
| SynEM, automated synapse detection for connectomics B Staffler, M Berning, KM Boergens, A Gour, P Smagt, M Helmstaedter Elife 6, e26414, 2017 | 70 | 2017 |
| Big data in nanoscale connectomics, and the greed for training labels A Motta, M Schurr, B Staffler, M Helmstaedter Current opinion in neurobiology 55, 180-187, 2019 | 23 | 2019 |
| Detecting synapse location and connectivity by signed proximity estimation and pruning with deep nets T Parag, D Berger, L Kamentsky, B Staffler, D Wei, M Helmstaedter, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 15 | 2018 |
| Neural architecture search for dense prediction tasks in computer vision R Mohan, T Elsken, A Zela, JH Metzen, B Staffler, T Brox, A Valada, ... International Journal of Computer Vision 131 (7), 1784-1807, 2023 | 7 | 2023 |
| Bag of tricks for neural architecture search T Elsken, B Staffler, A Zela, JH Metzen, F Hutter arXiv preprint arXiv:2107.03719, 2021 | 7 | 2021 |
| Meta-learning of neural architectures for few-shot learning. 2020 IEEE T Elsken, B Staffler, JH Metzen, F Hutter CVF Conference on Computer Vision and Pattern Recognition, 12362-12372, 2020 | 6 | 2020 |
| Neural architecture search for dense prediction tasks in computer vision T Elsken, A Zela, JH Metzen, B Staffler, T Brox, A Valada, F Hutter arXiv preprint arXiv:2202.07242, 2022 | 4 | 2022 |
| Dense connectomic reconstruction in layer 4 of the somatosensory cortex A Motta, M Berning, KM Boergens, B Staffler, M Beining, S Loomba, ... bioRxiv, 460618, 2018 | 4 | 2018 |
| SynEM, automated synapse detection for connectomics S Benedikt, M Berning, KM Boergens, G Anjali, H Moritz Elife 6, 2017 | 1 | 2017 |
| Lifshitz tails for random band matrices B Staffler Master’s thesis, Ludwig Maximilian University of Munich, Munich, 2013 | 1 | 2013 |
| Multi-objective Differentiable Neural Architecture Search RS Sukthanker, A Zela, B Staffler, S Dooley, J Grabocka, F Hutter arXiv preprint arXiv:2402.18213, 2024 | | 2024 |
| Method and device for creating a machine learning system BS Staffler, JH Metzen, D Stoeckel US Patent App. 17/873,107, 2023 | | 2023 |
| Method and device for creating a machine learning system including a plurality of outputs BS Staffler, JH Metzen US Patent App. 17/861,607, 2023 | | 2023 |
| Device and method of digital image content recognition, training of the same NY Finnie, BS Staffler US Patent 11,507,784, 2022 | | 2022 |
| Device and method of digital image content recognition, training of the same NY Finnie, BS Staffler US Patent 11,263,495, 2022 | | 2022 |
| Method and Apparatus for Training a Quantized Classifier T Pfeil, BS Staffler US Patent App. 17/395,533, 2022 | | 2022 |
| Method and device for creating a machine learning system BS Staffler, D Stoeckel US Patent App. 17/372,142, 2022 | | 2022 |
| Method and device for creating a machine learning system BS Staffler, JH Metzen US Patent App. 17/344,203, 2022 | | 2022 |
