Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generating images with sparse representations.

C. Nash, J. Menick, S. Dieleman, and P. Battaglia. ICML, volume 139 of Proceedings of Machine Learning Research, page 7958-7968. PMLR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alan Nash

Charlie Przetak

Charlie Hargood

Charlie Mahn

Claudia Nash

Other publications of authors with the same name

Unsupervised learning with neural latent variable models.C. Nash. University of Edinburgh, UK, (2020)British Library, EThOS.The shape variational autoencoder: A deep generative model of part-segmented 3D objects.C. Nash, and C. Williams. Comput. Graph. Forum, 36 (5): 1-12 (2017)Variable-rate discrete representation learning.S. Dieleman, C. Nash, J. Engel, and K. Simonyan. CoRR, (2021)General-purpose, long-context autoregressive modeling with Perceiver AR.C. Hawthorne, A. Jaegle, C. Cangea, S. Borgeaud, C. Nash, M. Malinowski, S. Dieleman, O. Vinyals, M. Botvinick, I. Simon and 5 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 8535-8558. PMLR, (2022)Inverting Supervised Representations with Autoregressive Neural Density Models.C. Nash, N. Kushman, and C. Williams. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1620-1629. PMLR, (2019)Autoregressive Energy Machines.C. Durkan, and C. Nash. ICML, volume 97 of Proceedings of Machine Learning Research, page 1735-1744. PMLR, (2019)Generating images with sparse representations.C. Nash, J. Menick, S. Dieleman, and P. Battaglia. ICML, volume 139 of Proceedings of Machine Learning Research, page 7958-7968. PMLR, (2021)HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps.L. Mi, H. Zhao, C. Nash, X. Jin, J. Gao, C. Sun, C. Schmid, N. Shavit, Y. Chai, and D. Anguelov. CVPR, page 4227-4236. Computer Vision Foundation / IEEE, (2021)PolyGen: An Autoregressive Generative Model of 3D Meshes.C. Nash, Y. Ganin, S. Eslami, and P. Battaglia. ICML, volume 119 of Proceedings of Machine Learning Research, page 7220-7229. PMLR, (2020)Transframer: Arbitrary Frame Prediction with Generative Models.C. Nash, J. Carreira, J. Walker, I. Barr, A. Jaegle, M. Malinowski, and P. Battaglia. CoRR, (2022)

BibSonomy

Disambiguation of "Nash, Charlie"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generating images with sparse representations.

Please choose a person to relate this publication to

Alan Nash

Charlie Przetak

Charlie Hargood

Charlie Mahn

Claudia Nash

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nash, Charlie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Generating images with sparse representations.

Please choose a person to relate this publication to

Alan Nash

Charlie Przetak

Charlie Hargood

Charlie Mahn

Claudia Nash

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Generating images with sparse representations.