Rishabh Kabra
Rishabh Kabra
Google DeepMind
Adresă de e-mail confirmată pe google.com
Citat de
Citat de
MONet: Unsupervised Scene Decomposition and Representation
CP Burgess, L Matthey, N Watters, R Kabra, I Higgins, M Botvinick, ...
arXiv preprint arXiv:1901.11390, 2019
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
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
Multi-Object Datasets
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
https://github.com/deepmind/multi_object_datasets, 2019
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
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
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
Spriteworld: A flexible, configurable reinforcement learning environment
N Watters, L Matthey, S Borgeaud, R Kabra, A Lerchner
https://github.com/deepmind/spriteworld, 2019
Alignnet: Unsupervised entity alignment
A Creswell, K Nikiforou, O Vinyals, A Saraiva, R Kabra, L Matthey, ...
arXiv preprint arXiv:2007.08973, 2020
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
Leveraging VLM-Based Pipelines to Annotate 3D Objects
R Kabra, L Matthey, A Lerchner, NJ Mitra
Proceedings of the 41st International Conference on Machine Learning, PMLR, 2023
PaliGemma: A versatile 3B VLM for transfer
L Beyer, A Steiner, AS Pinto, A Kolesnikov, X Wang, D Salz, M Neumann, ...
arXiv preprint arXiv:2407.07726, 2024
Unsupervised learning of object representations from video sequences using attention over space and time
R Kabra, D Zoran, G Erdogan, APN Creswell, L Matthey-de-l'Endroit, ...
US Patent App. 18/289,171, 2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
Z Wu, Y Rubanova, R Kabra, DA Hudson, I Gilitschenski, Y Aytar, ...
arXiv preprint arXiv:2406.09292, 2024
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
Variational Inference with Censored Gaussian Process Regressors
A Karlova, R Kabra, DA de Souza, B Paige
ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0
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