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Rishabh Kabra
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 13
Top Topics
Object Representations
Variational Inference
Unsupervised Segmentation
Multi Views
Top Venues
CoRR
ICML
NeurIPS
ICCV
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Publications
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Rishabh Kabra
,
Loic Matthey
,
Alexander Lerchner
,
Niloy J. Mitra
Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects.
CoRR
(2023)
Daniel Zoran
,
Rishabh Kabra
,
Alexander Lerchner
,
Danilo J. Rezende
PARTS: Unsupervised segmentation with slots, attention and independence maximization.
ICCV
(2021)
Antonia Creswell
,
Rishabh Kabra
,
Christopher Burgess
,
Murray Shanahan
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments.
CoRR
(2021)
Rishabh Kabra
,
Daniel Zoran
,
Goker Erdogan
,
Loic Matthey
,
Antonia Creswell
,
Matthew Botvinick
,
Alexander Lerchner
,
Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
CoRR
(2021)
James C. R. Whittington
,
Rishabh Kabra
,
Loic Matthey
,
Christopher P. Burgess
,
Alexander Lerchner
Constellation: Learning relational abstractions over objects for compositional imagination.
CoRR
(2021)
Rishabh Kabra
,
Daniel Zoran
,
Goker Erdogan
,
Loic Matthey
,
Antonia Creswell
,
Matt M. Botvinick
,
Alexander Lerchner
,
Christopher P. Burgess
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
NeurIPS
(2021)
Antonia Creswell
,
Rishabh Kabra
,
Christopher P. Burgess
,
Murray Shanahan
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments.
NeurIPS
(2021)
Antonia Creswell
,
Kyriacos Nikiforou
,
Oriol Vinyals
,
Andre Saraiva
,
Rishabh Kabra
,
Loic Matthey
,
Christopher Burgess
,
Malcolm Reynolds
,
Richard Tanburn
,
Marta Garnelo
,
Murray Shanahan
AlignNet: Unsupervised Entity Alignment.
CoRR
(2020)
Klaus Greff
,
Raphaël Lopez Kaufman
,
Rishabh Kabra
,
Nick Watters
,
Christopher Burgess
,
Daniel Zoran
,
Loic Matthey
,
Matthew Botvinick
,
Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference.
ICML
(2019)
Arthur Guez
,
Mehdi Mirza
,
Karol Gregor
,
Rishabh Kabra
,
Sébastien Racanière
,
Théophane Weber
,
David Raposo
,
Adam Santoro
,
Laurent Orseau
,
Tom Eccles
,
Greg Wayne
,
David Silver
,
Timothy P. Lillicrap
An investigation of model-free planning.
CoRR
(2019)
Arthur Guez
,
Mehdi Mirza
,
Karol Gregor
,
Rishabh Kabra
,
Sébastien Racanière
,
Theophane Weber
,
David Raposo
,
Adam Santoro
,
Laurent Orseau
,
Tom Eccles
,
Greg Wayne
,
David Silver
,
Timothy P. Lillicrap
An Investigation of Model-Free Planning.
ICML
(2019)
Klaus Greff
,
Raphaël Lopez Kaufman
,
Rishabh Kabra
,
Nick Watters
,
Christopher Burgess
,
Daniel Zoran
,
Loïc Matthey
,
Matthew Botvinick
,
Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference.
CoRR
(2019)
Christopher P. Burgess
,
Loïc Matthey
,
Nicholas Watters
,
Rishabh Kabra
,
Irina Higgins
,
Matthew Botvinick
,
Alexander Lerchner
MONet: Unsupervised Scene Decomposition and Representation.
CoRR
(2019)