| 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 | 4804 | 2020 |
| 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 | 374 | 2023 |
| 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 | 350 | 2018 |
| 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 | 199 | 2007 |
| 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 | 119 | 2008 |
| 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 | 113 | 2019 |
| 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 | 57 | 2009 |
| 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 | 54 | 2010 |
| 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 | 45 | 2022 |
| 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 | 41 | 2011 |
| 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 | 23 | 2022 |
| 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 | 20 | 2019 |
| Analysis of scattered protons in deuteron electrodisintegration with a polarized electron beam and an internal polarized target. AJ Maschinot | 11 | 2005 |
| 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 | 3 | 2022 |
| Unsupervised disentanglement without autoencoding: Pitfalls and future directions A Burns, A Sarna, D Krishnan, A Maschinot arXiv preprint arXiv:2108.06613, 2021 | 3 | 2021 |
| 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 | 1 | 2022 |
| 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 | 1 | 2017 |
| FLEXIBLE IMAGE ASPECT RATIO USING MACHINE LEARNING X Feng, Y LI, Y Wang, O Gimenez, H Xu, M Wang, H Chang, AJ Maschinot, ... US Patent App. 18/028,063, 2024 | | 2024 |
