| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 411 | 2024 |
| Feature control as intrinsic motivation for hierarchical reinforcement learning N Dilokthanakul, C Kaplanis, N Pawlowski, M Shanahan IEEE transactions on neural networks and learning systems 30 (11), 3409-3418, 2019 | 108 | 2019 |
| Continual reinforcement learning with complex synapses C Kaplanis, M Shanahan, C Clopath Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 105 | 2018 |
| An explicitly relational neural network architecture M Shanahan, K Nikiforou, A Creswell, C Kaplanis, D Barrett, M Garnelo International Conference on Machine Learning, 8593-8603, 2020 | 76 | 2020 |
| Policy Consolidation for Continual Reinforcement Learning C Kaplanis, M Shanahan, C Clopath Proceedings of the 36th International Conference on Machine Learning 97 …, 2019 | 59 | 2019 |
| Encoders and ensembles for task-free continual learning M Shanahan, C Kaplanis, J Mitrović arXiv preprint arXiv:2105.13327, 2021 | 20 | 2021 |
| Continual reinforcement learning with multi-timescale replay C Kaplanis, C Clopath, M Shanahan arXiv preprint arXiv:2004.07530, 2020 | 17 | 2020 |
| Improving fine-grained understanding in image-text pre-training I Bica, A Ilić, M Bauer, G Erdogan, M Bošnjak, C Kaplanis, AA Gritsenko, ... arXiv preprint arXiv:2401.09865, 2024 | 5 | 2024 |
| Implementation of Attentional Bistability in a Computational Model of the Dragonfly Visual System JC Farah, C Kaplanis, C Snowden, L Milic, Z Fountas, MP A.M. Cognitive Computational Neuroscience, 2017 | 3 | 2017 |
| Imagen 3 J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, K Chan, Y Chen, ... arXiv preprint arXiv:2408.07009, 2024 | 2 | 2024 |
| Synth: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings S Sharifzadeh, C Kaplanis, S Pathak, D Kumaran, A Ilic, J Mitrovic, ... arXiv preprint arXiv:2403.07750, 2024 | 2 | 2024 |
| Learning Causally Emergent Representations C Kaplanis, P Mediano, F Rosas NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems, 2023 | 1 | 2023 |
| Ensembles and Encoders for Task-Free Continual Learning M Shanahan, C Kaplanis, J Mitrović | 1 | |
| Continual reinforcement learning with memory at multiple timescales C Kaplanis Imperial College London, 2020 | | 2020 |
Murray ShanahanImperial College London / DeepMindVerified email at imperial.ac.uk
