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Aaron Maschinot
Aaron Maschinot
Staff Software Engineer, Google DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Supervised contrastive learning
P Khosla, P Teterwak, C Wang, A Sarna, Y Tian, P Isola, A Maschinot, ...
Advances in neural information processing systems 33, 18661-18673, 2020
52272020
Muse: Text-to-image generation via masked generative transformers
H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ...
arXiv preprint arXiv:2301.00704, 2023
4552023
Unsupervised training for 3d morphable model regression
K Genova, F Cole, A Maschinot, A Sarna, D Vlasic, WT Freeman
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3572018
Measurement of the Proton’s Electric to Magnetic Form Factor Ratio from
CB Crawford, A Sindile, T Akdogan, R Alarcon, W Bertozzi, E Booth, ...
Physical review letters 98 (5), 052301, 2007
1992007
Charge Form Factor of the Neutron at Low Momentum Transfer from the Reaction
E Geis, M Kohl, V Ziskin, T Akdogan, H Arenhövel, R Alarcon, W Bertozzi, ...
Physical review letters 101 (4), 042501, 2008
1202008
Boundless: Generative adversarial networks for image extension
P Teterwak, A Sarna, D Krishnan, A Maschinot, D Belanger, C Liu, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1182019
The BLAST experiment
D Hasell, T Akdogan, R Alarcon, W Bertozzi, E Booth, T Botto, JR Calarco, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2009
572009
Simplified transfer learning for chest radiography models using less data
AB Sellergren, C Chen, Z Nabulsi, Y Li, A Maschinot, A Sarna, J Huang, ...
Radiology 305 (2), 454-465, 2022
542022
Role of mesons in the electromagnetic form factors of the nucleon
C Crawford, T Akdogan, R Alarcon, W Bertozzi, E Booth, T Botto, ...
Physical Review C—Nuclear Physics 82 (4), 045211, 2010
542010
Precise measurement of deuteron tensor analyzing powers with BLAST
C Zhang, M Kohl, T Akdogan, R Alarcon, W Bertozzi, E Booth, T Botto, ...
Physical Review Letters 107 (25), 252501, 2011
412011
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
S Mishra, J Robinson, H Chang, D Jacobs, A Sarna, A Maschinot, ...
arXiv preprint arXiv:2210.16870, 2022
282022
Boundless: Generative adversarial networks for image extension
D Krishnan, P Teterwak, A Sarna, A Maschinot, C Liu, D Belanger, ...
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 10520-10529, 2019
222019
Analysis of scattered protons in deuteron electrodisintegration with a polarized electron beam and an internal polarized target.
AJ Maschinot
112005
Supervised contrastive learning with multiple positive examples
D Krishnan, P Khosla, P Teterwak, AY Sarna, AJ Maschinot, C Liu, ...
US Patent 11,347,975, 2022
52022
Unsupervised disentanglement without autoencoding: Pitfalls and future directions
A Burns, A Sarna, D Krishnan, A Maschinot
arXiv preprint arXiv:2108.06613, 2021
42021
Investigation of {delta}-medium effects using the {sup 4} He ({gamma},{pi}{sup+} n){sup 3} H and {sup 4} He ({gamma},{pi}{sup+} p) nnn reactions
D Branford, JF Arneil, JA MacKenzie, K Foehl, M Liang, J Ahrens, R Beck, ...
Physical Review. C, Nuclear Physics 66, 2002
2*2002
CAN: A simple, efficient and scalable contrastive masked autoencoder framework for learning visual representations
SK Mishra, JD Robinson, H Chang, D Jacobs, W Kuo, A Sarna, ...
2
Image extension neural networks
MP Bonnevie, A Maschinot, A Sarna, S Bi, J Wang, MS Krainin, W Tong, ...
US Patent App. 17/438,687, 2022
12022
Measurement of the Vector and Tensor Asymmetries at Large Missing Momentum in Quasielastic Electron Scattering from Deuterium
A DeGrush, A Maschinot, T Akdogan, R Alarcon, W Bertozzi, E Booth, ...
Physical Review Letters 119 (18), 182501, 2017
12017
Flexible image aspect ratio using machine learning
X Feng, Y Li, W Yihui, O Gimenez, H Xu, W Mengjie, H Chang, ...
US Patent App. 18/028,063, 2024
2024
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