| Mobilenetv2: Inverted residuals and linear bottlenecks M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 14378 | 2018 |
| Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu | 859 | 2018 |
| Description and first application of a new technique to measure the gravitational mass of antihydrogen AE Charman Nature communications 4 (1), 1785, 2013 | 277 | 2013 |
| Cyclegan, a master of steganography C Chu, A Zhmoginov, M Sandler arXiv preprint arXiv:1712.02950, 2017 | 188 | 2017 |
| The power of sparsity in convolutional neural networks S Changpinyo, M Sandler, A Zhmoginov arXiv preprint arXiv:1702.06257, 2017 | 140 | 2017 |
| MobileNetV2: Inverted Residuals and Linear Bottlenecks. arXiv 2018 M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen arXiv preprint arXiv:1801.04381, 1801 | 119* | 1801 |
| Proceedings of the IEEE conference on computer vision and pattern recognition M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen IEEE, 2018 | 104 | 2018 |
| An experimental limit on the charge of antihydrogen C Amole, MD Ashkezari, M Baquero-Ruiz, W Bertsche, E Butler, A Capra, ... Nature communications 5 (1), 3955, 2014 | 80 | 2014 |
| Antimatter interferometry for gravity measurements P Hamilton, A Zhmoginov, F Robicheaux, J Fajans, JS Wurtele, H Müller Physical review letters 112 (12), 121102, 2014 | 70 | 2014 |
| An improved limit on the charge of antihydrogen from stochastic acceleration M Ahmadi, M Baquero-Ruiz, W Bertsche, E Butler, A Capra, C Carruth, ... Nature 529 (7586), 373-376, 2016 | 68 | 2016 |
| K for the price of 1: Parameter-efficient multi-task and transfer learning PK Mudrakarta, M Sandler, A Zhmoginov, A Howard arXiv preprint arXiv:1810.10703, 2018 | 50 | 2018 |
| Inverting face embeddings with convolutional neural networks A Zhmoginov, M Sandler arXiv preprint arXiv:1606.04189, 2016 | 46 | 2016 |
| Experimental and computational study of the injection of antiprotons into a positron plasma for antihydrogen production C Amole, MD Ashkezari, M Baquero-Ruiz, W Bertsche, E Butler, A Capra, ... Physics of Plasmas 20 (4), 043510, 2013 | 30 | 2013 |
| Large-scale generative data-free distillation L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard arXiv preprint arXiv:2012.05578, 2020 | 26 | 2020 |
| Non-discriminative data or weak model? on the relative importance of data and model resolution M Sandler, J Baccash, A Zhmoginov, A Howard Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| Nonlinear dynamics of anti-hydrogen in magnetostatic traps: implications for gravitational measurements AI Zhmoginov, AE Charman, R Shalloo, J Fajans, JS Wurtele Classical and Quantum Gravity 30 (20), 205014, 2013 | 25 | 2013 |
| Manley–Rowe relations for an arbitrary discrete system IY Dodin, AI Zhmoginov, NJ Fisch Physics Letters A 372 (39), 6094-6096, 2008 | 21 | 2008 |
| Waves for alpha channeling in mirror machines AI Zhmoginov, NJ Fisch Physics of Plasmas 16 (11), 112511, 2009 | 18 | 2009 |
| Simulation of -channeling in mirror machines AI Zhmoginov, NJ Fisch Physics of Plasmas 15 (4), 042506, 2008 | 18 | 2008 |
| Hypertransformer: Model generation for supervised and semi-supervised few-shot learning A Zhmoginov, M Sandler, M Vladymyrov International Conference on Machine Learning, 27075-27098, 2022 | 17 | 2022 |
Mark SandlerGooglePotvrđena adresa e-pošte na google.com
