Christopher P. Burgess
发表
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
pdf
Alexander Lerchner,
Nicholas Watters,
Loïc Matthey,
2019,
ArXiv.
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
pdf
Alexander Lerchner,
Loic Matthey,
Nicholas Watters,
2019,
ArXiv.
Guillaume Desjardins,
Alexander Lerchner,
Loïc Matthey,
2018,
ArXiv.
Kenneth D. Harris,
Matteo Carandini,
Armin Lak,
2016,
bioRxiv.
Guillaume Desjardins,
Alexander Lerchner,
Loic Matthey,
2018,
1804.03599.
Matthew Botvinick,
Alexander Lerchner,
Nicholas Watters,
2019,
ArXiv.
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning
pdf
Alexander Lerchner,
Loic Matthey,
Nicholas Watters,
2019,
ICLR.
Matteo Carandini,
Christopher P. Burgess,
Christopher P. Burgess,
2019,
bioRxiv.
David Pfau,
Christopher P. Burgess,
David Pfau,
2018,
ICLR.
Murray Shanahan,
Demis Hassabis,
Matthew Botvinick,
2017,
ICLR.
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
pdf
Matthew Botvinick,
Antonia Creswell,
Daniel Zoran,
2021,
NeurIPS.
James C.R. Whittington,
James C. R. Whittington,
Alexander Lerchner,
2021,
ArXiv.
Christopher Burgess,
Charles Blundell,
Alexander Pritzel,
2017,
ICML.
Christopher Burgess,
Shakir Mohamed,
Matthew Botvinick,
2016,
ICLR 2016.
Demis Hassabis,
Christopher Burgess,
Matthew Botvinick,
2017,
ArXiv.
Christopher P. Burgess,
M. Shanahan,
Antonia Creswell,
2021,
NeurIPS.
Richard Tanburn,
Murray Shanahan,
Antonia Creswell,
2020,
ArXiv.
Klaus Greff,
Matthew Botvinick,
Daniel Zoran,
2019,
ICML.
Tom Eccles,
Christopher Burgess,
Alessandro Achille,
2018,
NeurIPS.
Christopher P. Burgess,
T. Weber,
P. Battaglia,
2018
.
Christopher P. Burgess,
Kaylene C. Stocking,
C. Tomlin,
2023,
ArXiv.
Christopher P. Burgess,
I. Higgins,
L. Matthey,
2019,
ICLR.