Charlie Nash

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Pitman Yor Process

Top Venues

ECCV Workshops (3)

Publications

Charlie Nash, João Carreira, Jacob C. Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. Trans. Mach. Learn. Res. 2023 (2023)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR (2022)
Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
General-purpose, long-context autoregressive modeling with Perceiver AR. ICML (2022)
Charlie Nash, João Carreira, Jacob Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter W. Battaglia
Transframer: Arbitrary Frame Prediction with Generative Models. CoRR (2022)
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CoRR (2021)
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
Generating images with sparse representations. ICML (2021)
Sander Dieleman, Charlie Nash, Jesse H. Engel, Karen Simonyan
Variable-rate discrete representation learning. CoRR (2021)
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CVPR (2021)
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
Generating Images with Sparse Representations. CoRR (2021)
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia
PolyGen: An Autoregressive Generative Model of 3D Meshes. ICML (2020)
Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter W. Battaglia
PolyGen: An Autoregressive Generative Model of 3D Meshes. CoRR (2020)
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
Efficient Graph Generation with Graph Recurrent Attention Networks. CoRR (2019)
Conor Durkan, Charlie Nash
Autoregressive Energy Machines. ICML (2019)
Charlie Nash, Nate Kushman, Christopher K. I. Williams
Inverting Supervised Representations with Autoregressive Neural Density Models. AISTATS (2019)
Charlie Nash, Conor Durkan
Autoregressive Energy Machines. CoRR (2019)
Charlie Nash, Nate Kushman, Christopher K. I. Williams
Inverting Supervised Representations with Autoregressive Neural Density Models. CoRR (2018)
Christopher K. I. Williams, Charlie Nash
Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case. CoRR (2018)
Charlie Nash, Christopher K. I. Williams
The shape variational autoencoder: A deep generative model of part-segmented 3D objects. Comput. Graph. Forum 36 (5) (2017)
Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli
Overcoming Occlusion with Inverse Graphics. ECCV Workshops (3) (2016)