| MONet: Unsupervised Scene Decomposition and Representation CP Burgess, L Matthey, N Watters, R Kabra, I Higgins, M Botvinick, ... arXiv preprint arXiv:1901.11390, 2019 | 366 | 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 | 357 | 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 | 73 | 2019 |
| Multi-Object Datasets R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ... https://github.com/deepmind/multi_object_datasets, 2019 | 39 | 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 | 32 | 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 | 25 | 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 | 14 | 2021 |
| Alignnet: Unsupervised entity alignment A Creswell, K Nikiforou, O Vinyals, A Saraiva, R Kabra, L Matthey, ... arXiv preprint arXiv:2007.08973, 2020 | 12 | 2020 |
| Spriteworld: A flexible, configurable reinforcement learning environment N Watters, L Matthey, S Borgeaud, R Kabra, A Lerchner https://github.com/deepmind/spriteworld, 2019 | 10 | 2019 |
| An investigation of model-free planning: boxoban levels A Guez, M Mirza, K Gregor, R Kabra, S Racaniere, T Weber, D Raposo, ... | 10 | 2018 |
| 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 | 6 | 1901 |
| 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 | 2 | 2021 |
| 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 |
Alexander LerchnerSenior Staff Scientist, DeepMindVerified email at deepmind.com
