Follow
Andrey Zhmoginov
Andrey Zhmoginov
Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
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
231332018
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation
A Howard, A Zhmoginov, LC Chen, M Sandler, M Zhu
Proc. CVPR, 4510-4520, 2018
11472018
Description and first application of a new technique to measure the gravitational mass of antihydrogen
AE Charman
Nature communications 4 (1), 1785, 2013
3002013
Transformers learn in-context by gradient descent
J Von Oswald, E Niklasson, E Randazzo, J Sacramento, A Mordvintsev, ...
International Conference on Machine Learning, 35151-35174, 2023
2852023
Cyclegan, a master of steganography
C Chu, A Zhmoginov, M Sandler
arXiv preprint arXiv:1712.02950, 2017
2392017
MobileNetV2: Inverted Residuals and Linear Bottlenecks. arXiv 2018
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
arXiv preprint arXiv:1801.04381, 1801
2091801
Proceedings of the IEEE conference on computer vision and pattern recognition
M Sandler, A Howard, M Zhu, A Zhmoginov, LC Chen
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1772018
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
1622017
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
902014
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
762016
Antimatter interferometry for gravity measurements
P Hamilton, A Zhmoginov, F Robicheaux, J Fajans, JS Wurtele, H Müller
Physical review letters 112 (12), 121102, 2014
752014
Inverting face embeddings with convolutional neural networks
A Zhmoginov, M Sandler
arXiv preprint arXiv:1606.04189, 2016
742016
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
652018
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
612022
Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation. CoRR abs/1801.04381 (2018)
M Sandler, AG Howard, M Zhu, A Zhmoginov, L Chen
arXiv preprint arXiv:1801.04381, 1801
511801
Large-scale generative data-free distillation
L Luo, M Sandler, Z Lin, A Zhmoginov, A Howard
arXiv preprint arXiv:2012.05578, 2020
472020
Fine-tuning image transformers using learnable memory
M Sandler, A Zhmoginov, M Vladymyrov, A Jackson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
392022
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
352019
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), 2013
312013
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
262013
The system can't perform the operation now. Try again later.
Articles 1–20