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Rishabh Kabra
Rishabh Kabra
Google DeepMind
Verified email at google.com
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Cited by
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Multi-Object Representation Learning with Iterative Variational Inference
K Greff, RL Kaufmann, R Kabra, N Watters, C Burgess, D Zoran, L Matthey, ...
Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019
2912019
MONet: Unsupervised Scene Decomposition and Representation
CP Burgess, L Matthey, N Watters, R Kabra, I Higgins, M Botvinick, ...
arXiv preprint arXiv:1901.11390, 2019
2862019
An Investigation of Model-Free Planning
A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ...
Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019
632019
Multi-Object Datasets
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
https://github.com/deepmind/multi_object_datasets, 2019
262019
Simone: View-invariant, temporally-abstracted object representations via unsupervised video decomposition
R Kabra, D Zoran, G Erdogan, L Matthey, A Creswell, M Botvinick, ...
Advances in Neural Information Processing Systems 34, 20146-20159, 2021
182021
Unsupervised object-based transition models for 3d partially observable environments
A Creswell, R Kabra, C Burgess, M Shanahan
Advances in Neural Information Processing Systems 34, 27344-27355, 2021
102021
Alignnet: Unsupervised entity alignment
A Creswell, K Nikiforou, O Vinyals, A Saraiva, R Kabra, L Matthey, ...
arXiv preprint arXiv:2007.08973, 2020
92020
An investigation of model-free planning: boxoban levels
A Guez, M Mirza, K Gregor, R Kabra, S Racaniere, T Weber, D Raposo, ...
92018
PARTS: Unsupervised segmentation with slots, attention and independence maximization
D Zoran, R Kabra, A Lerchner, DJ Rezende
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
72021
Spriteworld: A flexible, configurable reinforcement learning environment
N Watters, L Matthey, S Borgeaud, R Kabra, A Lerchner
https://github.com/deepmind/spriteworld, 2019
72019
Monet: Unsupervised scene decomposition and representation. arXiv 2019
CP Burgess, L Matthey, N Watters, R Kabra, I Higgins, M Botvinick, ...
arXiv preprint arXiv:1901.11390, 1901
71901
Constellation: Learning relational abstractions over objects for compositional imagination
JCR Whittington, R Kabra, L Matthey, CP Burgess, A Lerchner
ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception, 2021
12021
Stacked convolutional long short-term memory for model-free reinforcement learning
MM Mohammadi, AC Guez, K Gregor, R Kabra
US Patent 10,860,927, 2020
2020
deepmin... Shell
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
2019
deepmind/Multi_object_datasets
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
2019
Python-Multi object datasets: Multi-object image datasets with ground-truth segmentation masks and generative factors.
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
2019
Multi-object image datasets with ground-truth segmentation masks and generative factors.
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
2019
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Articles 1–17