| Inference by reparameterization in neural population codes R Vasudeva Raju, Z Pitkow Advances in Neural Information Processing Systems 29, 2016 | 35 | 2016 |
| Schema-learning and rebinding as mechanisms of in-context learning and emergence S Swaminathan, A Dedieu, R Vasudeva Raju, M Shanahan, ... Advances in Neural Information Processing Systems 36, 28785-28804, 2023 | 17 | 2023 |
| Space is a latent sequence: Structured sequence learning as a unified theory of representation in the hippocampus RV Raju, JS Guntupalli, G Zhou, M Lázaro-Gredilla, D George arXiv preprint arXiv:2212.01508, 2022 | 17 | 2022 |
| Graph schemas as abstractions for transfer learning, inference, and planning JS Guntupalli, RV Raju, S Kushagra, C Wendelken, D Sawyer, ... arXiv preprint arXiv:2302.07350, 2023 | 12 | 2023 |
| Classification of vehicles using magnetic dipole model GV Prateek, V Rajkumar, K Nijil, KVS Hari TENCON 2012 IEEE Region 10 Conference, 1-6, 2012 | 11 | 2012 |
| Space is a latent sequence: A theory of the hippocampus RV Raju, JS Guntupalli, G Zhou, C Wendelken, M Lázaro-Gredilla, ... Science Advances 10 (31), eadm8470, 2024 | 8 | 2024 |
| Diffusion model predictive control G Zhou, S Swaminathan, RV Raju, JS Guntupalli, W Lehrach, J Ortiz, ... arXiv preprint arXiv:2410.05364, 2024 | 6 | 2024 |
| Marginalization in random nonlinear neural networks R Raju, X Pitkow American Physical Society Meeting Abstracts 1, 2015 | 5 | 2015 |
| Inferring Inference RV Raju, Z Li, S Linderman, X Pitkow arXiv preprint arXiv:2310.03186, 2023 | 2 | 2023 |
| Space is a latent sequence: Structured sequence learning as a unified theory of representation in the hippocampus R Vasudeva Raju, J Swaroop Guntupalli, G Zhou, M Lázaro-Gredilla, ... arXiv e-prints, arXiv: 2212.01508, 2022 | 1 | 2022 |
| Marginalization in random nonlinear neural networks R Vasudeva Raju, X Pitkow APS March Meeting Abstracts 2015, P1. 107, 2015 | 1 | 2015 |
| Inferring Inference R Vasudeva Raju, Z Li, S Linderman, X Pitkow arXiv e-prints, arXiv: 2310.03186, 2023 | | 2023 |
| Graph schemas as abstractions for transfer learning, inference, and planning J Swaroop Guntupalli, R Vasudeva Raju, S Kushagra, C Wendelken, ... arXiv e-prints, arXiv: 2302.07350, 2023 | | 2023 |
| Inferring Implicit Inference R Vasudeva Raju | | 2019 |
| Inferring Implicit Inference RV Raju Rice University, 2019 | | 2019 |
| Inference by Reparameterization using Neural Population Codes R Vasudeva Raju | | 2015 |
| Inference by Reparameterization Using Neural Population Codes RV Raju Rice University, 2015 | | 2015 |
Miguel Lázaro-GredillaResearch @ Google DeepMind. Ex VP of research @ Vicarious AI.確認したメール アドレス: deepmind.com
