Overcoming Occlusion with Inverse Graphics. - Pol Moreno; Christopher K. I. Williams; Charlie Nash; Pushmeet Kohli (ECCV Workshops (3), 2016)

The shape variational autoencoder: A deep generative model of part-segmented 3D objects. - Charlie Nash; Christopher K. I. Williams (Comput. Graph. Forum, 2017)

Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case. - Christopher K. I. Williams; Charlie Nash (CoRR, 2018)

Inverting Supervised Representations with Autoregressive Neural Density Models. - Charlie Nash; Nate Kushman; Christopher K. I. Williams (AISTATS, 2019)

Autoregressive Energy Machines. - Conor Durkan; Charlie Nash (ICML, 2019)

Efficient Graph Generation with Graph Recurrent Attention Networks. - Renjie Liao; Yujia Li 001; Yang Song 011; Shenlong Wang; Charlie Nash; William L. Hamilton; David Duvenaud; Raquel Urtasun; Richard S. Zemel (CoRR, 2019)

PolyGen: An Autoregressive Generative Model of 3D Meshes. - Charlie Nash; Yaroslav Ganin; S. M. Ali Eslami; Peter W. Battaglia (ICML, 2020)

Unsupervised learning with neural latent variable models. - Charlie Nash (2020)

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. - Lu Mi; Hang Zhao; Charlie Nash; Xiaohan Jin; Jiyang Gao; Chen Sun 002; Cordelia Schmid; Nir Shavit; Yuning Chai; Dragomir Anguelov (CVPR, 2021)

Generating images with sparse representations. - Charlie Nash; Jacob Menick; Sander Dieleman; Peter W. Battaglia (ICML, 2021)

Variable-rate discrete representation learning. - Sander Dieleman; Charlie Nash; Jesse H. Engel; Karen Simonyan (CoRR, 2021)

General-purpose, long-context autoregressive modeling with Perceiver AR. - 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; et al. (ICML, 2022)

Transframer: Arbitrary Frame Prediction with Generative Models. - Charlie Nash; João Carreira 001; Jacob C. Walker; Iain Barr; Andrew Jaegle; Mateusz Malinowski; Peter W. Battaglia (Trans. Mach. Learn. Res., 2023)