Nash, Charlie

9 publications

TMLR 2023 Transframer: Arbitrary Frame Prediction with Generative Models Charlie Nash, Joao Carreira, Jacob C Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter Battaglia

ICML 2022 General-Purpose, Long-Context Autoregressive Modeling with Perceiver AR Curtis Hawthorne, Andrew Jaegle, Cătălina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, Joao Carreira, Jesse Engel

ICML 2021 Generating Images with Sparse Representations Charlie Nash, Jacob Menick, Sander Dieleman, Peter Battaglia

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

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

ICML 2019 Autoregressive Energy Machines Charlie Nash, Conor Durkan

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

ECCV 2016 Overcoming Occlusion with Inverse Graphics Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli

ECCVW 2016 Overcoming Occlusion with Inverse Graphics Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli