Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Maschinot, A."'
Autor:
Chang, Huiwen, Zhang, Han, Barber, Jarred, Maschinot, AJ, Lezama, Jose, Jiang, Lu, Yang, Ming-Hsuan, Murphy, Kevin, Freeman, William T., Rubinstein, Michael, Li, Yuanzhen, Krishnan, Dilip
We present Muse, a text-to-image Transformer model that achieves state-of-the-art image generation performance while being significantly more efficient than diffusion or autoregressive models. Muse is trained on a masked modeling task in discrete tok
Externí odkaz:
http://arxiv.org/abs/2301.00704
Autor:
Mishra, Shlok, Robinson, Joshua, Chang, Huiwen, Jacobs, David, Sarna, Aaron, Maschinot, Aaron, Krishnan, Dilip
We introduce CAN, a simple, efficient and scalable method for self-supervised learning of visual representations. Our framework is a minimal and conceptually clean synthesis of (C) contrastive learning, (A) masked autoencoders, and (N) the noise pred
Externí odkaz:
http://arxiv.org/abs/2210.16870
Disentangled visual representations have largely been studied with generative models such as Variational AutoEncoders (VAEs). While prior work has focused on generative methods for disentangled representation learning, these approaches do not scale t
Externí odkaz:
http://arxiv.org/abs/2108.06613
Autor:
Khosla, Prannay, Teterwak, Piotr, Wang, Chen, Sarna, Aaron, Tian, Yonglong, Isola, Phillip, Maschinot, Aaron, Liu, Ce, Krishnan, Dilip
Contrastive learning applied to self-supervised representation learning has seen a resurgence in recent years, leading to state of the art performance in the unsupervised training of deep image models. Modern batch contrastive approaches subsume or s
Externí odkaz:
http://arxiv.org/abs/2004.11362
Autor:
Teterwak, Piotr, Sarna, Aaron, Krishnan, Dilip, Maschinot, Aaron, Belanger, David, Liu, Ce, Freeman, William T.
Image extension models have broad applications in image editing, computational photography and computer graphics. While image inpainting has been extensively studied in the literature, it is challenging to directly apply the state-of-the-art inpainti
Externí odkaz:
http://arxiv.org/abs/1908.07007
Autor:
Genova, Kyle, Cole, Forrester, Maschinot, Aaron, Sarna, Aaron, Vlasic, Daniel, Freeman, William T.
Publikováno v:
Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 8377-8386
We present a method for training a regression network from image pixels to 3D morphable model coordinates using only unlabeled photographs. The training loss is based on features from a facial recognition network, computed on-the-fly by rendering the
Externí odkaz:
http://arxiv.org/abs/1806.06098
Autor:
DeGrush, A., Maschinot, A., Akdogan, T., Alarcon, R., Bertozzi, W., Booth, E., Botto, T., Calarco, J. R., Clasie, B., Crawford, C., Dow, K., Farkhondeh, M., Fatemi, R., Filoti, O., Franklin, W., Gao, H., Geis, E., Gilad, S., Hasell, D. K., Karpius, P., Kohl, M., Kolster, H., Lee, T., Matthews, J., McIlhany, K., Meitanis, N., Milner, R., Rapaport, J., Redwine, R., Seely, J., Shinozaki, A., Sindile, A., Sirca, S., Six, E., Smith, T., Tonguc, B., Tschalar, C., Tsentalovich, E., Turchinetz, W., Xiao, Y., Xu, W., Zhou, Z. -L., Ziskin, V., Zwart, T.
Publikováno v:
Phys. Rev. Lett. 119, 182501 (2017)
We report the measurement of the beam-vector and tensor asymmetries $A^V_{ed}$ and $A^T_d$ in quasielastic $(\vec{e}, e^{\prime}p)$ electrodisintegration of the deuteron at the MIT-Bates Linear Accelerator Center up to missing momentum of 500~MeV/c.
Externí odkaz:
http://arxiv.org/abs/1707.03028
Publikováno v:
In European Journal of Medicinal Chemistry 15 January 2019 162:495-506
Autor:
Crawford, C., Akdogan, T., Alarcon, R., Bertozzi, W., Booth, E., Botto, T., Calarco, J. R., Clasie, B., DeGrush, A., Donnelly, T. W., Dow, K., Farkhondeh, M., Fatemi, R., Filoti, O., Franklin, W., Gao, H., Geis, E., Gilad, S., Hasell, D., Karpius, P., Kohl, M., Kolster, H., Lee, T., Lomon, E., Maschinot, A., Matthews, J., McIlhany, K., Meitanis, N., Milner, R., Rapaport, J., Redwine, R., Seely, J., Shinozaki, A., Sindile, A., Sirca, S., Six, E., Smith, T., Tonguc, B., Tschalaer, C., Tsentalovich, E., Turchinetz, W., Xiao, Y., Xu, W., Zhang, C., Zhou, Z., Ziskin, V., Zwart, T.
The roles played by mesons in the electromagnetic form factors of the nucleon are explored using as a basis a model containing vector mesons with coupling to the continuum together with the asymptotic $Q^2$ behavior of perturbative QCD. Specifically,
Externí odkaz:
http://arxiv.org/abs/1003.0903
Autor:
Marian, Christine A., Stoszko, Mateusz, Wang, Lili, Leighty, Matthew W., de Crignis, Elisa, Maschinot, Chad A., Gatchalian, Jovylyn, Carter, Benjamin C., Chowdhury, Basudev, Hargreaves, Diana C., Duvall, Jeremy R., Crabtree, Gerald R., Mahmoudi, Tokameh, Dykhuizen, Emily C.
Publikováno v:
In Cell Chemical Biology 20 December 2018 25(12):1443-1455