Flexible and accurate inference and learning for deep generative models E Vértes, M Sahani Advances in Neural Information Processing Systems, 4166-4175, 2018 | 55 | 2018 |
A neurally plausible model learns successor representations in partially observable environments E Vértes, M Sahani Advances in Neural Information Processing Systems 32, 2019 | 49 | 2019 |
Procedural Generalization by Planning with Self-Supervised World Models A Anand, J Walker, Y Li, E Vértes, J Schrittwieser, S Ozair, T Weber, ... arXiv preprint arXiv:2111.01587, 2021 | 32 | 2021 |
Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3 A Ecker, B Bagi, E Vértes, O Steinbach-Németh, MR Karlócai, OI Papp, ... Elife 11, e71850, 2022 | 27 | 2022 |
Model-Value Inconsistency as a Signal for Epistemic Uncertainty A Filos, E Vértes, Z Marinho, G Farquhar, D Borsa, A Friesen, ... arXiv preprint arXiv:2112.04153, 2021 | 10 | 2021 |
Learning Doubly Intractable Latent Variable Models via Score Matching E Vértes, M Sahani Advances in Approximate Bayesian Inference, NIPS 2016 Workshop, 2016 | 9 | 2016 |
Investigating the role of model-based learning in exploration and transfer JC Walker, E Vértes, Y Li, G Dulac-Arnold, A Anand, T Weber, JB Hamrick International Conference on Machine Learning, 35368-35383, 2023 | 6 | 2023 |
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task J Kossen, C Cangea, E Vértes, A Jaegle, V Patraucean, I Ktena, ... arXiv preprint arXiv:2211.05039, 2022 | 4 | 2022 |
Competing theories of probabilistic computations in the brain. J Beck, R Haefner, X Pitkow, C Savin, E Vertes | 4 | 2020 |
Probabilistic learning and computation in brains and machines E Vertes UCL (University College London), 2020 | 2 | 2020 |
Mechanisms of sharp wave-ripple generation and autonomous replay in a hippocampal network model S Káli, E Vértes, DG Nagy, TF Freund, AI Gulyás BMC Neuroscience 14, 1-2, 2013 | | 2013 |